From 2771d5835cdfd49de9ee17a00117b9d90749e821 Mon Sep 17 00:00:00 2001
From: Philipp Burckhardt <pburckhardt@outlook.com>
Date: Tue, 7 Mar 2023 21:00:01 -0500
Subject: [PATCH] docs: render equations via math code blocks

---
 .../@stdlib/stats/base/dmean/README.md        |  8 +++-
 .../@stdlib/stats/base/dmeankbn/README.md     |  8 +++-
 .../@stdlib/stats/base/dmeankbn2/README.md    |  8 +++-
 .../@stdlib/stats/base/dmeanli/README.md      |  8 +++-
 .../@stdlib/stats/base/dmeanlipw/README.md    |  8 +++-
 .../@stdlib/stats/base/dmeanors/README.md     |  8 +++-
 .../@stdlib/stats/base/dmeanpn/README.md      |  8 +++-
 .../@stdlib/stats/base/dmeanpw/README.md      |  8 +++-
 .../@stdlib/stats/base/dmeanstdev/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/dmeanstdevpn/README.md | 32 +++++++++----
 .../@stdlib/stats/base/dmeanvar/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/dmeanvarpn/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/dmeanwd/README.md      |  8 +++-
 .../@stdlib/stats/base/dnanmean/README.md     |  8 +++-
 .../@stdlib/stats/base/dnanmeanors/README.md  |  8 +++-
 .../@stdlib/stats/base/dnanmeanpn/README.md   |  8 +++-
 .../@stdlib/stats/base/dnanmeanpw/README.md   |  8 +++-
 .../@stdlib/stats/base/dnanmeanwd/README.md   |  8 +++-
 .../@stdlib/stats/base/dnanstdev/README.md    | 32 +++++++++----
 .../@stdlib/stats/base/dnanstdevch/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/dnanstdevpn/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/dnanstdevtk/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/dnanstdevwd/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/dnanstdevyc/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/dnanvariance/README.md | 32 +++++++++----
 .../stats/base/dnanvariancech/README.md       | 32 +++++++++----
 .../stats/base/dnanvariancepn/README.md       | 32 +++++++++----
 .../stats/base/dnanvariancetk/README.md       | 32 +++++++++----
 .../stats/base/dnanvariancewd/README.md       | 32 +++++++++----
 .../stats/base/dnanvarianceyc/README.md       | 32 +++++++++----
 .../@stdlib/stats/base/dsem/README.md         | 16 +++++--
 .../@stdlib/stats/base/dsemch/README.md       | 16 +++++--
 .../@stdlib/stats/base/dsempn/README.md       | 16 +++++--
 .../@stdlib/stats/base/dsemtk/README.md       | 16 +++++--
 .../@stdlib/stats/base/dsemwd/README.md       | 16 +++++--
 .../@stdlib/stats/base/dsemyc/README.md       | 16 +++++--
 .../@stdlib/stats/base/dsmean/README.md       |  8 +++-
 .../@stdlib/stats/base/dsmeanors/README.md    |  8 +++-
 .../@stdlib/stats/base/dsmeanpn/README.md     |  8 +++-
 .../@stdlib/stats/base/dsmeanpw/README.md     |  8 +++-
 .../@stdlib/stats/base/dsmeanwd/README.md     |  8 +++-
 .../@stdlib/stats/base/dsnanmean/README.md    |  8 +++-
 .../@stdlib/stats/base/dsnanmeanors/README.md |  8 +++-
 .../@stdlib/stats/base/dsnanmeanpn/README.md  |  8 +++-
 .../@stdlib/stats/base/dsnanmeanwd/README.md  |  8 +++-
 .../@stdlib/stats/base/dstdev/README.md       | 32 +++++++++----
 .../@stdlib/stats/base/dstdevch/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/dstdevpn/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/dstdevtk/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/dstdevwd/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/dstdevyc/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/dsvariance/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/dsvariancepn/README.md | 32 +++++++++----
 .../@stdlib/stats/base/dvariance/README.md    | 32 +++++++++----
 .../@stdlib/stats/base/dvariancech/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/dvariancepn/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/dvariancetk/README.md  | 48 ++++++++++++++-----
 .../@stdlib/stats/base/dvariancewd/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/dvarianceyc/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/dvarm/README.md        | 32 +++++++++----
 .../@stdlib/stats/base/dvarmpn/README.md      | 32 +++++++++----
 .../@stdlib/stats/base/dvarmtk/README.md      | 32 +++++++++----
 .../@stdlib/stats/base/mean/README.md         |  8 +++-
 .../@stdlib/stats/base/meankbn/README.md      |  8 +++-
 .../@stdlib/stats/base/meankbn2/README.md     |  8 +++-
 .../@stdlib/stats/base/meanors/README.md      |  8 +++-
 .../@stdlib/stats/base/meanpn/README.md       |  8 +++-
 .../@stdlib/stats/base/meanpw/README.md       |  8 +++-
 .../@stdlib/stats/base/meanwd/README.md       |  8 +++-
 .../@stdlib/stats/base/nanmean/README.md      |  8 +++-
 .../@stdlib/stats/base/nanmeanors/README.md   |  8 +++-
 .../@stdlib/stats/base/nanmeanpn/README.md    |  8 +++-
 .../@stdlib/stats/base/nanmeanwd/README.md    |  8 +++-
 .../@stdlib/stats/base/nanstdev/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/nanstdevch/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/nanstdevpn/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/nanstdevtk/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/nanstdevwd/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/nanstdevyc/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/nanvariance/README.md  | 32 +++++++++----
 .../stats/base/nanvariancech/README.md        | 32 +++++++++----
 .../stats/base/nanvariancepn/README.md        | 32 +++++++++----
 .../stats/base/nanvariancetk/README.md        | 32 +++++++++----
 .../stats/base/nanvariancewd/README.md        | 32 +++++++++----
 .../stats/base/nanvarianceyc/README.md        | 32 +++++++++----
 .../@stdlib/stats/base/sdsmean/README.md      |  8 +++-
 .../@stdlib/stats/base/sdsmeanors/README.md   |  8 +++-
 .../@stdlib/stats/base/sdsnanmean/README.md   |  8 +++-
 .../stats/base/sdsnanmeanors/README.md        |  8 +++-
 .../@stdlib/stats/base/smean/README.md        |  8 +++-
 .../@stdlib/stats/base/smeankbn/README.md     |  8 +++-
 .../@stdlib/stats/base/smeankbn2/README.md    |  8 +++-
 .../@stdlib/stats/base/smeanli/README.md      |  8 +++-
 .../@stdlib/stats/base/smeanlipw/README.md    |  8 +++-
 .../@stdlib/stats/base/smeanors/README.md     |  8 +++-
 .../@stdlib/stats/base/smeanpn/README.md      |  8 +++-
 .../@stdlib/stats/base/smeanpw/README.md      |  8 +++-
 .../@stdlib/stats/base/smeanwd/README.md      |  8 +++-
 .../@stdlib/stats/base/snanmean/README.md     |  8 +++-
 .../@stdlib/stats/base/snanmeanors/README.md  |  8 +++-
 .../@stdlib/stats/base/snanmeanpn/README.md   |  8 +++-
 .../@stdlib/stats/base/snanmeanwd/README.md   |  8 +++-
 .../@stdlib/stats/base/snanstdev/README.md    | 32 +++++++++----
 .../@stdlib/stats/base/snanstdevch/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/snanstdevpn/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/snanstdevtk/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/snanstdevwd/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/snanstdevyc/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/snanvariance/README.md | 32 +++++++++----
 .../stats/base/snanvariancech/README.md       | 32 +++++++++----
 .../stats/base/snanvariancepn/README.md       | 32 +++++++++----
 .../stats/base/snanvariancetk/README.md       | 32 +++++++++----
 .../stats/base/snanvariancewd/README.md       | 32 +++++++++----
 .../stats/base/snanvarianceyc/README.md       | 32 +++++++++----
 .../@stdlib/stats/base/sstdev/README.md       | 32 +++++++++----
 .../@stdlib/stats/base/sstdevch/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/sstdevpn/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/sstdevtk/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/sstdevwd/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/sstdevyc/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/stdev/README.md        | 36 +++++++++-----
 .../@stdlib/stats/base/stdevch/README.md      | 32 +++++++++----
 .../@stdlib/stats/base/stdevpn/README.md      | 32 +++++++++----
 .../@stdlib/stats/base/stdevtk/README.md      | 32 +++++++++----
 .../@stdlib/stats/base/stdevwd/README.md      | 32 +++++++++----
 .../@stdlib/stats/base/stdevyc/README.md      | 32 +++++++++----
 .../@stdlib/stats/base/svariance/README.md    | 32 +++++++++----
 .../@stdlib/stats/base/svariancech/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/svariancepn/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/svariancetk/README.md  | 48 ++++++++++++++-----
 .../@stdlib/stats/base/svariancewd/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/svarianceyc/README.md  | 32 +++++++++----
 .../@stdlib/stats/base/variance/README.md     | 32 +++++++++----
 .../@stdlib/stats/base/variancech/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/variancepn/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/variancetk/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/variancewd/README.md   | 32 +++++++++----
 .../@stdlib/stats/base/varianceyc/README.md   | 32 +++++++++----
 138 files changed, 2346 insertions(+), 786 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dmean/README.md b/lib/node_modules/@stdlib/stats/base/dmean/README.md
index dd8bdb6a4ef3..52a771ce16a3 100644
--- a/lib/node_modules/@stdlib/stats/base/dmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmean/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@bc3f9a977a19bdac15d08515d55073e20ad38e9e/lib/node_modules/@stdlib/stats/base/dmean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeankbn/README.md b/lib/node_modules/@stdlib/stats/base/dmeankbn/README.md
index 931d65d7ba29..bfd03ff5c837 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeankbn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeankbn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@195c6d0df4074a7fb40f55cc6bc541f7b70125e7/lib/node_modules/@stdlib/stats/base/dmeankbn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeankbn2/README.md b/lib/node_modules/@stdlib/stats/base/dmeankbn2/README.md
index 5d421591f138..79ba581a937c 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeankbn2/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeankbn2/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@4bf02936365dcd2e9d3cbd3d606450bc9646d382/lib/node_modules/@stdlib/stats/base/dmeankbn2/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanli/README.md b/lib/node_modules/@stdlib/stats/base/dmeanli/README.md
index e580b5cceaab..e27e0cf2fec3 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeanli/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeanli/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2f444e66f5cd85766019efeaf24447d1e0f1a491/lib/node_modules/@stdlib/stats/base/dmeanli/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanlipw/README.md b/lib/node_modules/@stdlib/stats/base/dmeanlipw/README.md
index 9dc8edaafc70..c2f21a70aff2 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeanlipw/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeanlipw/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@4415a930fcdcfd8c5ff6a8781a93d88b40ab0e18/lib/node_modules/@stdlib/stats/base/dmeanlipw/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanors/README.md b/lib/node_modules/@stdlib/stats/base/dmeanors/README.md
index d89ec2d96585..ef5b9edb6552 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeanors/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@31813f0075e020c41f607780a0a8646db7d050fc/lib/node_modules/@stdlib/stats/base/dmeanors/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/README.md b/lib/node_modules/@stdlib/stats/base/dmeanpn/README.md
index 2940c84e1cef..73eda8656b1c 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeanpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d13eec599263c9a3b3e4b458e5f79182459edeed/lib/node_modules/@stdlib/stats/base/dmeanpn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpw/README.md b/lib/node_modules/@stdlib/stats/base/dmeanpw/README.md
index 5fc9bd884fb5..42648a1c1c87 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeanpw/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeanpw/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@656f7f68149fb4a1b69495608fadfc54b1248e80/lib/node_modules/@stdlib/stats/base/dmeanpw/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanstdev/README.md b/lib/node_modules/@stdlib/stats/base/dmeanstdev/README.md
index 6fe1f1e75bd2..f6dd03f07602 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeanstdev/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeanstdev/README.md
@@ -30,10 +30,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fc1d35912f15aaa6bfb58aadc07a842b1239c98c/lib/node_modules/@stdlib/stats/base/dmeanstdev/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -41,10 +45,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fc1d35912f15aaa6bfb58aadc07a842b1239c98c/lib/node_modules/@stdlib/stats/base/dmeanstdev/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -52,10 +60,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fc1d35912f15aaa6bfb58aadc07a842b1239c98c/lib/node_modules/@stdlib/stats/base/dmeanstdev/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -63,10 +75,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fc1d35912f15aaa6bfb58aadc07a842b1239c98c/lib/node_modules/@stdlib/stats/base/dmeanstdev/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanstdevpn/README.md b/lib/node_modules/@stdlib/stats/base/dmeanstdevpn/README.md
index f6b63e268a3b..091296125973 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeanstdevpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeanstdevpn/README.md
@@ -30,10 +30,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8467ec3de1244d48205fbf95404ac53f957b4c5b/lib/node_modules/@stdlib/stats/base/dmeanstdevpn/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -41,10 +45,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8467ec3de1244d48205fbf95404ac53f957b4c5b/lib/node_modules/@stdlib/stats/base/dmeanstdevpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -52,10 +60,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8467ec3de1244d48205fbf95404ac53f957b4c5b/lib/node_modules/@stdlib/stats/base/dmeanstdevpn/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -63,10 +75,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8467ec3de1244d48205fbf95404ac53f957b4c5b/lib/node_modules/@stdlib/stats/base/dmeanstdevpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanvar/README.md b/lib/node_modules/@stdlib/stats/base/dmeanvar/README.md
index c01ebd1bc0bd..fd61fc07abbd 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeanvar/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeanvar/README.md
@@ -30,10 +30,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f85af87fd916af053698e5c33740948c95161155/lib/node_modules/@stdlib/stats/base/dmeanvar/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -41,10 +45,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f85af87fd916af053698e5c33740948c95161155/lib/node_modules/@stdlib/stats/base/dmeanvar/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -52,10 +60,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f85af87fd916af053698e5c33740948c95161155/lib/node_modules/@stdlib/stats/base/dmeanvar/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -63,10 +75,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f85af87fd916af053698e5c33740948c95161155/lib/node_modules/@stdlib/stats/base/dmeanvar/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanvarpn/README.md b/lib/node_modules/@stdlib/stats/base/dmeanvarpn/README.md
index f57d1d317295..60abf2661988 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeanvarpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeanvarpn/README.md
@@ -30,10 +30,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@dca5c57cba513d811303286e9c4d339421b7515a/lib/node_modules/@stdlib/stats/base/dmeanvarpn/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -41,10 +45,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@dca5c57cba513d811303286e9c4d339421b7515a/lib/node_modules/@stdlib/stats/base/dmeanvarpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -52,10 +60,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@dca5c57cba513d811303286e9c4d339421b7515a/lib/node_modules/@stdlib/stats/base/dmeanvarpn/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -63,10 +75,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@dca5c57cba513d811303286e9c4d339421b7515a/lib/node_modules/@stdlib/stats/base/dmeanvarpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dmeanwd/README.md
index 9d5616c39f5a..323b3a45fcdb 100644
--- a/lib/node_modules/@stdlib/stats/base/dmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmeanwd/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@339637af8d39d156edb39d8f600e0c29d6c96ec0/lib/node_modules/@stdlib/stats/base/dmeanwd/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmean/README.md b/lib/node_modules/@stdlib/stats/base/dnanmean/README.md
index ff8f27ec348e..17ce4a303f3a 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmean/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@07e9a0037ac8fa900d1e184160c19139584e140d/lib/node_modules/@stdlib/stats/base/dnanmean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanors/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanors/README.md
index 4e50129228de..18124db12981 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanors/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@086f7b0f8efb88e4bc7ec5a9417e4ea89cd3f27c/lib/node_modules/@stdlib/stats/base/dnanmeanors/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanpn/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanpn/README.md
index 98774005a2f9..9a9a2344a962 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanpn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@939b3065109682bbaf70403aba5b13b054107b3e/lib/node_modules/@stdlib/stats/base/dnanmeanpn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanpw/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanpw/README.md
index 453ce40ae9ed..64b1e5cc791c 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanpw/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanpw/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6905c1fbb86fb9d9c958da1e70ae7132a1245ba0/lib/node_modules/@stdlib/stats/base/dnanmeanpw/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
index 67de0d64460a..8392e1999459 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@43d789bc0f899d8e613c03cad8477d6f783f3d90/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanstdev/README.md b/lib/node_modules/@stdlib/stats/base/dnanstdev/README.md
index 6fd6ebb1190a..71b7adbac231 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanstdev/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanstdev/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8d3edee773621acb26e638a5526260a233cfaf8b/lib/node_modules/@stdlib/stats/base/dnanstdev/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8d3edee773621acb26e638a5526260a233cfaf8b/lib/node_modules/@stdlib/stats/base/dnanstdev/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8d3edee773621acb26e638a5526260a233cfaf8b/lib/node_modules/@stdlib/stats/base/dnanstdev/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8d3edee773621acb26e638a5526260a233cfaf8b/lib/node_modules/@stdlib/stats/base/dnanstdev/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanstdevch/README.md b/lib/node_modules/@stdlib/stats/base/dnanstdevch/README.md
index bcbbc13012b5..485302bdc7cc 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanstdevch/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanstdevch/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@27e9fc9e312bb0a8075bb6580b7953a2f3230512/lib/node_modules/@stdlib/stats/base/dnanstdevch/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@27e9fc9e312bb0a8075bb6580b7953a2f3230512/lib/node_modules/@stdlib/stats/base/dnanstdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@27e9fc9e312bb0a8075bb6580b7953a2f3230512/lib/node_modules/@stdlib/stats/base/dnanstdevch/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@27e9fc9e312bb0a8075bb6580b7953a2f3230512/lib/node_modules/@stdlib/stats/base/dnanstdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanstdevpn/README.md b/lib/node_modules/@stdlib/stats/base/dnanstdevpn/README.md
index 52c9f5436a1d..be1b74321aff 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanstdevpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanstdevpn/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e0727de08be6b07ec832c0537cdd4e43356b3577/lib/node_modules/@stdlib/stats/base/dnanstdevpn/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e0727de08be6b07ec832c0537cdd4e43356b3577/lib/node_modules/@stdlib/stats/base/dnanstdevpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e0727de08be6b07ec832c0537cdd4e43356b3577/lib/node_modules/@stdlib/stats/base/dnanstdevpn/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e0727de08be6b07ec832c0537cdd4e43356b3577/lib/node_modules/@stdlib/stats/base/dnanstdevpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanstdevtk/README.md b/lib/node_modules/@stdlib/stats/base/dnanstdevtk/README.md
index 348934c009b6..677899ab93e4 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanstdevtk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanstdevtk/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ed9e7135716f62ffb338d48bada0d7383f5c2f38/lib/node_modules/@stdlib/stats/base/dnanstdevtk/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ed9e7135716f62ffb338d48bada0d7383f5c2f38/lib/node_modules/@stdlib/stats/base/dnanstdevtk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ed9e7135716f62ffb338d48bada0d7383f5c2f38/lib/node_modules/@stdlib/stats/base/dnanstdevtk/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ed9e7135716f62ffb338d48bada0d7383f5c2f38/lib/node_modules/@stdlib/stats/base/dnanstdevtk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanstdevwd/README.md b/lib/node_modules/@stdlib/stats/base/dnanstdevwd/README.md
index 857e70fc42ad..7a2d1b8b66eb 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanstdevwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanstdevwd/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@422e91057f65d608bf62f4217224258790be09c5/lib/node_modules/@stdlib/stats/base/dnanstdevwd/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@422e91057f65d608bf62f4217224258790be09c5/lib/node_modules/@stdlib/stats/base/dnanstdevwd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@422e91057f65d608bf62f4217224258790be09c5/lib/node_modules/@stdlib/stats/base/dnanstdevwd/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@422e91057f65d608bf62f4217224258790be09c5/lib/node_modules/@stdlib/stats/base/dnanstdevwd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanstdevyc/README.md b/lib/node_modules/@stdlib/stats/base/dnanstdevyc/README.md
index 5f47641bd2d2..566b1f30d7af 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanstdevyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanstdevyc/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0050bc2c25e356df439a060477de2f6ec72f9fb0/lib/node_modules/@stdlib/stats/base/dnanstdevyc/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0050bc2c25e356df439a060477de2f6ec72f9fb0/lib/node_modules/@stdlib/stats/base/dnanstdevyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0050bc2c25e356df439a060477de2f6ec72f9fb0/lib/node_modules/@stdlib/stats/base/dnanstdevyc/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0050bc2c25e356df439a060477de2f6ec72f9fb0/lib/node_modules/@stdlib/stats/base/dnanstdevyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariance/README.md b/lib/node_modules/@stdlib/stats/base/dnanvariance/README.md
index 7dfbcf2f7041..9b125e03d9c2 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariance/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@53ca1c753aa4ce5ae122bc33a8640a4ed25155f7/lib/node_modules/@stdlib/stats/base/dnanvariance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@53ca1c753aa4ce5ae122bc33a8640a4ed25155f7/lib/node_modules/@stdlib/stats/base/dnanvariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@53ca1c753aa4ce5ae122bc33a8640a4ed25155f7/lib/node_modules/@stdlib/stats/base/dnanvariance/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@53ca1c753aa4ce5ae122bc33a8640a4ed25155f7/lib/node_modules/@stdlib/stats/base/dnanvariance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancech/README.md b/lib/node_modules/@stdlib/stats/base/dnanvariancech/README.md
index 807470748078..0deb506a3836 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancech/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancech/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2bb9015a10fd5072af76596f3119b5943b199ae3/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2bb9015a10fd5072af76596f3119b5943b199ae3/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2bb9015a10fd5072af76596f3119b5943b199ae3/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2bb9015a10fd5072af76596f3119b5943b199ae3/lib/node_modules/@stdlib/stats/base/dnanvariancech/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancepn/README.md b/lib/node_modules/@stdlib/stats/base/dnanvariancepn/README.md
index 88c4d40fc288..a096d2bcc40d 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancepn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancepn/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b319e285f88598dec81c4cfe1c8eb61bd7ec33e4/lib/node_modules/@stdlib/stats/base/dnanvariancepn/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b319e285f88598dec81c4cfe1c8eb61bd7ec33e4/lib/node_modules/@stdlib/stats/base/dnanvariancepn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b319e285f88598dec81c4cfe1c8eb61bd7ec33e4/lib/node_modules/@stdlib/stats/base/dnanvariancepn/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b319e285f88598dec81c4cfe1c8eb61bd7ec33e4/lib/node_modules/@stdlib/stats/base/dnanvariancepn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancetk/README.md b/lib/node_modules/@stdlib/stats/base/dnanvariancetk/README.md
index 171de1997759..a180fcd4b753 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancetk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancetk/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c2beef65569407f53362ce3e2aa0d74d73764034/lib/node_modules/@stdlib/stats/base/dnanvariancetk/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c2beef65569407f53362ce3e2aa0d74d73764034/lib/node_modules/@stdlib/stats/base/dnanvariancetk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c2beef65569407f53362ce3e2aa0d74d73764034/lib/node_modules/@stdlib/stats/base/dnanvariancetk/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c2beef65569407f53362ce3e2aa0d74d73764034/lib/node_modules/@stdlib/stats/base/dnanvariancetk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvariancewd/README.md b/lib/node_modules/@stdlib/stats/base/dnanvariancewd/README.md
index 555fe534c503..71a7c2eb6f25 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvariancewd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanvariancewd/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@576798eef2b1a2b1b713d022ed2e644269eb0ed7/lib/node_modules/@stdlib/stats/base/dnanvariancewd/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@576798eef2b1a2b1b713d022ed2e644269eb0ed7/lib/node_modules/@stdlib/stats/base/dnanvariancewd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@576798eef2b1a2b1b713d022ed2e644269eb0ed7/lib/node_modules/@stdlib/stats/base/dnanvariancewd/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@576798eef2b1a2b1b713d022ed2e644269eb0ed7/lib/node_modules/@stdlib/stats/base/dnanvariancewd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanvarianceyc/README.md b/lib/node_modules/@stdlib/stats/base/dnanvarianceyc/README.md
index 484df0c36676..48d27c59b488 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanvarianceyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanvarianceyc/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@63a36c1efc3afec5264b1c7db6a9837678ab1cfc/lib/node_modules/@stdlib/stats/base/dnanvarianceyc/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@63a36c1efc3afec5264b1c7db6a9837678ab1cfc/lib/node_modules/@stdlib/stats/base/dnanvarianceyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@63a36c1efc3afec5264b1c7db6a9837678ab1cfc/lib/node_modules/@stdlib/stats/base/dnanvarianceyc/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@63a36c1efc3afec5264b1c7db6a9837678ab1cfc/lib/node_modules/@stdlib/stats/base/dnanvarianceyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsem/README.md b/lib/node_modules/@stdlib/stats/base/dsem/README.md
index 92f44e73371e..129b5d6e40b7 100644
--- a/lib/node_modules/@stdlib/stats/base/dsem/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsem/README.md
@@ -28,10 +28,14 @@ The [standard error of the mean][standard-error] of a finite size sample of size
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean" align="center" raw="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" alt="Equation for the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
+```math
+\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@227a94a6f2e49efe65e814f2da7bc9b9c2bec9b9/lib/node_modules/@stdlib/stats/base/dsem/docs/img/equation_standard_error_of_the_mean.svg" alt="Equation for the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -41,10 +45,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean_estimate" align="center" raw="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" alt="Equation for estimating the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
+```math
+\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@227a94a6f2e49efe65e814f2da7bc9b9c2bec9b9/lib/node_modules/@stdlib/stats/base/dsem/docs/img/equation_standard_error_of_the_mean_estimate.svg" alt="Equation for estimating the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/README.md b/lib/node_modules/@stdlib/stats/base/dsemch/README.md
index d7225f1a3ffb..041f4cca147b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/README.md
@@ -28,10 +28,14 @@ The [standard error of the mean][standard-error] of a finite size sample of size
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean" align="center" raw="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" alt="Equation for the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
+```math
+\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3ebbbfc49c54971356c0cf8f6282e6720cb07755/lib/node_modules/@stdlib/stats/base/dsemch/docs/img/equation_standard_error_of_the_mean.svg" alt="Equation for the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -41,10 +45,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean_estimate" align="center" raw="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" alt="Equation for estimating the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
+```math
+\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3ebbbfc49c54971356c0cf8f6282e6720cb07755/lib/node_modules/@stdlib/stats/base/dsemch/docs/img/equation_standard_error_of_the_mean_estimate.svg" alt="Equation for estimating the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsempn/README.md b/lib/node_modules/@stdlib/stats/base/dsempn/README.md
index e7651d5d4541..28c17d007b31 100644
--- a/lib/node_modules/@stdlib/stats/base/dsempn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsempn/README.md
@@ -28,10 +28,14 @@ The [standard error of the mean][standard-error] of a finite size sample of size
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean" align="center" raw="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" alt="Equation for the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
+```math
+\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@df2ee22fd4efcdafe072b536041b60a5526f268c/lib/node_modules/@stdlib/stats/base/dsempn/docs/img/equation_standard_error_of_the_mean.svg" alt="Equation for the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -41,10 +45,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean_estimate" align="center" raw="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" alt="Equation for estimating the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
+```math
+\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@df2ee22fd4efcdafe072b536041b60a5526f268c/lib/node_modules/@stdlib/stats/base/dsempn/docs/img/equation_standard_error_of_the_mean_estimate.svg" alt="Equation for estimating the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsemtk/README.md b/lib/node_modules/@stdlib/stats/base/dsemtk/README.md
index d4fb7e67cbf5..ab6c894ee1e7 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemtk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsemtk/README.md
@@ -28,10 +28,14 @@ The [standard error of the mean][standard-error] of a finite size sample of size
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean" align="center" raw="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" alt="Equation for the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
+```math
+\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@5801695664293426455789e96b013ef4320d0569/lib/node_modules/@stdlib/stats/base/dsemtk/docs/img/equation_standard_error_of_the_mean.svg" alt="Equation for the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -41,10 +45,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean_estimate" align="center" raw="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" alt="Equation for estimating the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
+```math
+\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@5801695664293426455789e96b013ef4320d0569/lib/node_modules/@stdlib/stats/base/dsemtk/docs/img/equation_standard_error_of_the_mean_estimate.svg" alt="Equation for estimating the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsemwd/README.md b/lib/node_modules/@stdlib/stats/base/dsemwd/README.md
index 1f22c99c3736..ea94c1ec11a2 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsemwd/README.md
@@ -28,10 +28,14 @@ The [standard error of the mean][standard-error] of a finite size sample of size
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean" align="center" raw="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" alt="Equation for the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
+```math
+\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@480295a815ede8e73acc470b7d4228fa0db9ab94/lib/node_modules/@stdlib/stats/base/dsemwd/docs/img/equation_standard_error_of_the_mean.svg" alt="Equation for the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -41,10 +45,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean_estimate" align="center" raw="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" alt="Equation for estimating the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
+```math
+\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@480295a815ede8e73acc470b7d4228fa0db9ab94/lib/node_modules/@stdlib/stats/base/dsemwd/docs/img/equation_standard_error_of_the_mean_estimate.svg" alt="Equation for estimating the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsemyc/README.md b/lib/node_modules/@stdlib/stats/base/dsemyc/README.md
index e5d0c10fbb38..c9cdcc5014b0 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsemyc/README.md
@@ -28,10 +28,14 @@ The [standard error of the mean][standard-error] of a finite size sample of size
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean" align="center" raw="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" alt="Equation for the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
+```math
+\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e541455edad5251f526b8cc13e60c7d00b4b6767/lib/node_modules/@stdlib/stats/base/dsemyc/docs/img/equation_standard_error_of_the_mean.svg" alt="Equation for the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -41,10 +45,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:standard_error_of_the_mean_estimate" align="center" raw="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" alt="Equation for estimating the standard error of the mean."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
+```math
+\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma_{\bar{x}} \approx \frac{s}{\sqrt{n}}" data-equation="eq:standard_error_of_the_mean_estimate">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e541455edad5251f526b8cc13e60c7d00b4b6767/lib/node_modules/@stdlib/stats/base/dsemyc/docs/img/equation_standard_error_of_the_mean_estimate.svg" alt="Equation for estimating the standard error of the mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 940be76cdf67..8343c4b95c04 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2a9fcbe031910c73ff13145983cc0669201ed252/lib/node_modules/@stdlib/stats/base/dsmean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanors/README.md b/lib/node_modules/@stdlib/stats/base/dsmeanors/README.md
index 3b3081b9affe..47c4ca5ee399 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanors/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7da9a70404ccd4070ed654ca3c0b8a6b629aeba8/lib/node_modules/@stdlib/stats/base/dsmeanors/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanpn/README.md b/lib/node_modules/@stdlib/stats/base/dsmeanpn/README.md
index 77a63286c494..53fd8f36ebde 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanpn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6453bd4f7916e1518ccdbbc20396ba7d13a348ba/lib/node_modules/@stdlib/stats/base/dsmeanpn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanpw/README.md b/lib/node_modules/@stdlib/stats/base/dsmeanpw/README.md
index ef8ca7676951..08cb8e5b71c2 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanpw/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanpw/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@bef48a7ab1318364d0bf178f0e69d081a61688c3/lib/node_modules/@stdlib/stats/base/dsmeanpw/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
index 4d2aad9b41d9..977729836d8f 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@063b711f977a57d6f93b3119b85e602d798dfa61/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsnanmean/README.md b/lib/node_modules/@stdlib/stats/base/dsnanmean/README.md
index 115282ce0c59..43b8daaa1671 100644
--- a/lib/node_modules/@stdlib/stats/base/dsnanmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsnanmean/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@78a403ca3645ec240cac504c1caa1bff80f9447e/lib/node_modules/@stdlib/stats/base/dsnanmean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsnanmeanors/README.md b/lib/node_modules/@stdlib/stats/base/dsnanmeanors/README.md
index 12888501b6e8..2075fa4df919 100644
--- a/lib/node_modules/@stdlib/stats/base/dsnanmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsnanmeanors/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@23c6ac239685f96addd36b5dc7ac2e76839922d7/lib/node_modules/@stdlib/stats/base/dsnanmeanors/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsnanmeanpn/README.md b/lib/node_modules/@stdlib/stats/base/dsnanmeanpn/README.md
index 80998a36dc03..34331e207e4d 100644
--- a/lib/node_modules/@stdlib/stats/base/dsnanmeanpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsnanmeanpn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@82d9e19462d218125d72a829a523c81f20e43234/lib/node_modules/@stdlib/stats/base/dsnanmeanpn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsnanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dsnanmeanwd/README.md
index 1bc366c6b7e3..93d13d5a9f6e 100644
--- a/lib/node_modules/@stdlib/stats/base/dsnanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsnanmeanwd/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0d925ed05a6925fe1e213f07851ac761bf6aba96/lib/node_modules/@stdlib/stats/base/dsnanmeanwd/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dstdev/README.md b/lib/node_modules/@stdlib/stats/base/dstdev/README.md
index 911ed9fd51a7..e0bf39b41633 100644
--- a/lib/node_modules/@stdlib/stats/base/dstdev/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dstdev/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@4ed7c2df6f2b8325241396b7c0cd96ceb07d4a1f/lib/node_modules/@stdlib/stats/base/dstdev/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@4ed7c2df6f2b8325241396b7c0cd96ceb07d4a1f/lib/node_modules/@stdlib/stats/base/dstdev/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@4ed7c2df6f2b8325241396b7c0cd96ceb07d4a1f/lib/node_modules/@stdlib/stats/base/dstdev/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@4ed7c2df6f2b8325241396b7c0cd96ceb07d4a1f/lib/node_modules/@stdlib/stats/base/dstdev/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dstdevch/README.md b/lib/node_modules/@stdlib/stats/base/dstdevch/README.md
index addf4b8e20ce..0e57659268a2 100644
--- a/lib/node_modules/@stdlib/stats/base/dstdevch/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dstdevch/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@664f0b01d3273575edb73e429ed5befd85d3d654/lib/node_modules/@stdlib/stats/base/dstdevch/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@664f0b01d3273575edb73e429ed5befd85d3d654/lib/node_modules/@stdlib/stats/base/dstdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@664f0b01d3273575edb73e429ed5befd85d3d654/lib/node_modules/@stdlib/stats/base/dstdevch/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@664f0b01d3273575edb73e429ed5befd85d3d654/lib/node_modules/@stdlib/stats/base/dstdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dstdevpn/README.md b/lib/node_modules/@stdlib/stats/base/dstdevpn/README.md
index 551ce1a504f8..fc9b1260667a 100644
--- a/lib/node_modules/@stdlib/stats/base/dstdevpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dstdevpn/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fd5c95fa313aa54712bf5c0996c7a3a5684eb9ca/lib/node_modules/@stdlib/stats/base/dstdevpn/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fd5c95fa313aa54712bf5c0996c7a3a5684eb9ca/lib/node_modules/@stdlib/stats/base/dstdevpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fd5c95fa313aa54712bf5c0996c7a3a5684eb9ca/lib/node_modules/@stdlib/stats/base/dstdevpn/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fd5c95fa313aa54712bf5c0996c7a3a5684eb9ca/lib/node_modules/@stdlib/stats/base/dstdevpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dstdevtk/README.md b/lib/node_modules/@stdlib/stats/base/dstdevtk/README.md
index 6b86313f2c26..bdaf224d6b67 100644
--- a/lib/node_modules/@stdlib/stats/base/dstdevtk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dstdevtk/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1a27628c50d5d2586aad835bd92684b37822a3c9/lib/node_modules/@stdlib/stats/base/dstdevtk/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1a27628c50d5d2586aad835bd92684b37822a3c9/lib/node_modules/@stdlib/stats/base/dstdevtk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1a27628c50d5d2586aad835bd92684b37822a3c9/lib/node_modules/@stdlib/stats/base/dstdevtk/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1a27628c50d5d2586aad835bd92684b37822a3c9/lib/node_modules/@stdlib/stats/base/dstdevtk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dstdevwd/README.md b/lib/node_modules/@stdlib/stats/base/dstdevwd/README.md
index 01e20e21b01d..6c59790179e0 100644
--- a/lib/node_modules/@stdlib/stats/base/dstdevwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dstdevwd/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e0105d1395bafcc4c21234789186d5e60a233c25/lib/node_modules/@stdlib/stats/base/dstdevwd/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e0105d1395bafcc4c21234789186d5e60a233c25/lib/node_modules/@stdlib/stats/base/dstdevwd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e0105d1395bafcc4c21234789186d5e60a233c25/lib/node_modules/@stdlib/stats/base/dstdevwd/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e0105d1395bafcc4c21234789186d5e60a233c25/lib/node_modules/@stdlib/stats/base/dstdevwd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dstdevyc/README.md b/lib/node_modules/@stdlib/stats/base/dstdevyc/README.md
index ba80fe4b3895..768af0905646 100644
--- a/lib/node_modules/@stdlib/stats/base/dstdevyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dstdevyc/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@cf34dc340ace40f02a572d42d3234a21745f58f3/lib/node_modules/@stdlib/stats/base/dstdevyc/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@cf34dc340ace40f02a572d42d3234a21745f58f3/lib/node_modules/@stdlib/stats/base/dstdevyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@cf34dc340ace40f02a572d42d3234a21745f58f3/lib/node_modules/@stdlib/stats/base/dstdevyc/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@cf34dc340ace40f02a572d42d3234a21745f58f3/lib/node_modules/@stdlib/stats/base/dstdevyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsvariance/README.md b/lib/node_modules/@stdlib/stats/base/dsvariance/README.md
index c7269eabafb5..d57fb40a07e6 100644
--- a/lib/node_modules/@stdlib/stats/base/dsvariance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsvariance/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8b4a42d2b11253b2a7fd4e38ad4a314502945489/lib/node_modules/@stdlib/stats/base/dsvariance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8b4a42d2b11253b2a7fd4e38ad4a314502945489/lib/node_modules/@stdlib/stats/base/dsvariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8b4a42d2b11253b2a7fd4e38ad4a314502945489/lib/node_modules/@stdlib/stats/base/dsvariance/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8b4a42d2b11253b2a7fd4e38ad4a314502945489/lib/node_modules/@stdlib/stats/base/dsvariance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsvariancepn/README.md b/lib/node_modules/@stdlib/stats/base/dsvariancepn/README.md
index a9893b487100..4757d2c3b39b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsvariancepn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsvariancepn/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@9aa0053c951406de8e19e50168cb8e4b76af2548/lib/node_modules/@stdlib/stats/base/dsvariancepn/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@9aa0053c951406de8e19e50168cb8e4b76af2548/lib/node_modules/@stdlib/stats/base/dsvariancepn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@9aa0053c951406de8e19e50168cb8e4b76af2548/lib/node_modules/@stdlib/stats/base/dsvariancepn/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@9aa0053c951406de8e19e50168cb8e4b76af2548/lib/node_modules/@stdlib/stats/base/dsvariancepn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dvariance/README.md b/lib/node_modules/@stdlib/stats/base/dvariance/README.md
index 5a11002d5e72..44fe52bc6680 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dvariance/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@202daa5527346d5e410f1a6ecfcbdf73df4c05f4/lib/node_modules/@stdlib/stats/base/dvariance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@202daa5527346d5e410f1a6ecfcbdf73df4c05f4/lib/node_modules/@stdlib/stats/base/dvariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@202daa5527346d5e410f1a6ecfcbdf73df4c05f4/lib/node_modules/@stdlib/stats/base/dvariance/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@202daa5527346d5e410f1a6ecfcbdf73df4c05f4/lib/node_modules/@stdlib/stats/base/dvariance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancech/README.md b/lib/node_modules/@stdlib/stats/base/dvariancech/README.md
index a13e9604419f..8de7fb0ffa42 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancech/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dvariancech/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d9de8d69f2211b76d04d2e48fd248e5fbbbefaf8/lib/node_modules/@stdlib/stats/base/dvariancech/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d9de8d69f2211b76d04d2e48fd248e5fbbbefaf8/lib/node_modules/@stdlib/stats/base/dvariancech/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d9de8d69f2211b76d04d2e48fd248e5fbbbefaf8/lib/node_modules/@stdlib/stats/base/dvariancech/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d9de8d69f2211b76d04d2e48fd248e5fbbbefaf8/lib/node_modules/@stdlib/stats/base/dvariancech/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/README.md b/lib/node_modules/@stdlib/stats/base/dvariancepn/README.md
index 99314b3c5792..a2c83064d151 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@63c490687f6e665dd9827abc99bfbd09353d175c/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@63c490687f6e665dd9827abc99bfbd09353d175c/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@63c490687f6e665dd9827abc99bfbd09353d175c/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@63c490687f6e665dd9827abc99bfbd09353d175c/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancetk/README.md b/lib/node_modules/@stdlib/stats/base/dvariancetk/README.md
index 9573ea5d65e7..548089be3223 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancetk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dvariancetk/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@14f73db6358fc1febe42f8220332bf3af188416c/lib/node_modules/@stdlib/stats/base/dvariancetk/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@14f73db6358fc1febe42f8220332bf3af188416c/lib/node_modules/@stdlib/stats/base/dvariancetk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ After rearranging terms, the population [variance][variance] can be equivalently
 
 <!-- <equation class="equation" label="eq:population_variance_textbook" align="center" raw="\sigma^2 = \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i^2 - \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i \ \biggr)^2\ \biggr)" alt="Equation for the population variance (one-pass textbook formula)."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i^2 - \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i \ \biggr)^2\ \biggr)" data-equation="eq:population_variance_textbook">
+```math
+\sigma^2 = \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i^2 - \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i \ \biggr)^2\ \biggr)
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i^2 - \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i \ \biggr)^2\ \biggr)" data-equation="eq:population_variance_textbook">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@225f0ea70463a8ba0111dd791d7274ad81ad6c3c/lib/node_modules/@stdlib/stats/base/dvariancetk/docs/img/equation_population_variance_textbook.svg" alt="Equation for the population variance (one-pass textbook formula).">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@14f73db6358fc1febe42f8220332bf3af188416c/lib/node_modules/@stdlib/stats/base/dvariancetk/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -72,10 +88,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@14f73db6358fc1febe42f8220332bf3af188416c/lib/node_modules/@stdlib/stats/base/dvariancetk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -83,10 +103,14 @@ Similar to the population [variance][variance], after rearranging terms, the **u
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance_textbook" align="center" raw="s^2 = \frac{1}{n-1}\biggl(\ \sum_{i=0}^{n-1} x_i^2 - \frac{1}{n}\biggl(\ \sum_{i=0}^{n-1} x_i \ \biggr)^2\ \biggr)" alt="Equation for the unbiased sample variance (one-pass textbook formula)."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1}\biggl(\ \sum_{i=0}^{n-1} x_i^2 - \frac{1}{n}\biggl(\ \sum_{i=0}^{n-1} x_i \ \biggr)^2\ \biggr)" data-equation="eq:unbiased_sample_variance_textbook">
+```math
+s^2 = \frac{1}{n-1}\biggl(\ \sum_{i=0}^{n-1} x_i^2 - \frac{1}{n}\biggl(\ \sum_{i=0}^{n-1} x_i \ \biggr)^2\ \biggr)
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1}\biggl(\ \sum_{i=0}^{n-1} x_i^2 - \frac{1}{n}\biggl(\ \sum_{i=0}^{n-1} x_i \ \biggr)^2\ \biggr)" data-equation="eq:unbiased_sample_variance_textbook">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@225f0ea70463a8ba0111dd791d7274ad81ad6c3c/lib/node_modules/@stdlib/stats/base/dvariancetk/docs/img/equation_unbiased_sample_variance_textbook.svg" alt="Equation for the unbiased sample variance (one-pass textbook formula).">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancewd/README.md b/lib/node_modules/@stdlib/stats/base/dvariancewd/README.md
index f29778c5862b..9e11e1a8c15f 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancewd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dvariancewd/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3966b8df77a2f3186e46d4674f57a3c5664e1b3c/lib/node_modules/@stdlib/stats/base/dvariancewd/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3966b8df77a2f3186e46d4674f57a3c5664e1b3c/lib/node_modules/@stdlib/stats/base/dvariancewd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3966b8df77a2f3186e46d4674f57a3c5664e1b3c/lib/node_modules/@stdlib/stats/base/dvariancewd/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3966b8df77a2f3186e46d4674f57a3c5664e1b3c/lib/node_modules/@stdlib/stats/base/dvariancewd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dvarianceyc/README.md b/lib/node_modules/@stdlib/stats/base/dvarianceyc/README.md
index 88531013c0d6..ba7635b8d142 100644
--- a/lib/node_modules/@stdlib/stats/base/dvarianceyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dvarianceyc/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@94c0e07378903189e8e881a7f9d6ce8181ea5816/lib/node_modules/@stdlib/stats/base/dvarianceyc/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@94c0e07378903189e8e881a7f9d6ce8181ea5816/lib/node_modules/@stdlib/stats/base/dvarianceyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@94c0e07378903189e8e881a7f9d6ce8181ea5816/lib/node_modules/@stdlib/stats/base/dvarianceyc/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@94c0e07378903189e8e881a7f9d6ce8181ea5816/lib/node_modules/@stdlib/stats/base/dvarianceyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dvarm/README.md b/lib/node_modules/@stdlib/stats/base/dvarm/README.md
index 2b487b6fff2f..b0a5e8fbe696 100644
--- a/lib/node_modules/@stdlib/stats/base/dvarm/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dvarm/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@79744a33483f9d23b00195aaf2d4b66614b97fac/lib/node_modules/@stdlib/stats/base/dvarm/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@79744a33483f9d23b00195aaf2d4b66614b97fac/lib/node_modules/@stdlib/stats/base/dvarm/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@79744a33483f9d23b00195aaf2d4b66614b97fac/lib/node_modules/@stdlib/stats/base/dvarm/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@79744a33483f9d23b00195aaf2d4b66614b97fac/lib/node_modules/@stdlib/stats/base/dvarm/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dvarmpn/README.md b/lib/node_modules/@stdlib/stats/base/dvarmpn/README.md
index 5a32e7180fe9..0095e5a671d0 100644
--- a/lib/node_modules/@stdlib/stats/base/dvarmpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dvarmpn/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@083669e7e6ae042b7a77ba147a320a1f3c5379ae/lib/node_modules/@stdlib/stats/base/dvarmpn/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@083669e7e6ae042b7a77ba147a320a1f3c5379ae/lib/node_modules/@stdlib/stats/base/dvarmpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@083669e7e6ae042b7a77ba147a320a1f3c5379ae/lib/node_modules/@stdlib/stats/base/dvarmpn/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@083669e7e6ae042b7a77ba147a320a1f3c5379ae/lib/node_modules/@stdlib/stats/base/dvarmpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/dvarmtk/README.md b/lib/node_modules/@stdlib/stats/base/dvarmtk/README.md
index 84a4aeff43eb..0e5c661833ee 100644
--- a/lib/node_modules/@stdlib/stats/base/dvarmtk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dvarmtk/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@17c4f03a7f5b5dfe2b599d46d977adad1bf6909c/lib/node_modules/@stdlib/stats/base/dvarmtk/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@17c4f03a7f5b5dfe2b599d46d977adad1bf6909c/lib/node_modules/@stdlib/stats/base/dvarmtk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@17c4f03a7f5b5dfe2b599d46d977adad1bf6909c/lib/node_modules/@stdlib/stats/base/dvarmtk/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@17c4f03a7f5b5dfe2b599d46d977adad1bf6909c/lib/node_modules/@stdlib/stats/base/dvarmtk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/mean/README.md b/lib/node_modules/@stdlib/stats/base/mean/README.md
index d2d7a05cb562..2b887ff25993 100644
--- a/lib/node_modules/@stdlib/stats/base/mean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/mean/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@42d8f64d805113ab899c79c7c39d6c6bac7fe25c/lib/node_modules/@stdlib/stats/base/mean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/meankbn/README.md b/lib/node_modules/@stdlib/stats/base/meankbn/README.md
index 7447e6fd0801..ef4eeed9e605 100644
--- a/lib/node_modules/@stdlib/stats/base/meankbn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/meankbn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@a4861d8b5345a07f446bcfb2bb4bef1bc8346595/lib/node_modules/@stdlib/stats/base/meankbn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/meankbn2/README.md b/lib/node_modules/@stdlib/stats/base/meankbn2/README.md
index 1ea506a91ce1..52ca1aa12dda 100644
--- a/lib/node_modules/@stdlib/stats/base/meankbn2/README.md
+++ b/lib/node_modules/@stdlib/stats/base/meankbn2/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d820b077212edc1e220f16161ba0fc454c265552/lib/node_modules/@stdlib/stats/base/meankbn2/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/meanors/README.md b/lib/node_modules/@stdlib/stats/base/meanors/README.md
index 936b16ed5968..26406d5cea17 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/meanors/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@cf91fb5151c5abc026ea047eeea0127310f0ddd5/lib/node_modules/@stdlib/stats/base/meanors/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/meanpn/README.md b/lib/node_modules/@stdlib/stats/base/meanpn/README.md
index 1a2b534438dd..2d6091bd86d7 100644
--- a/lib/node_modules/@stdlib/stats/base/meanpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/meanpn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7158616c9399e313d462e91b1a5c0f82d090c372/lib/node_modules/@stdlib/stats/base/meanpn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/meanpw/README.md b/lib/node_modules/@stdlib/stats/base/meanpw/README.md
index e84812c2a7a1..25e62e162631 100644
--- a/lib/node_modules/@stdlib/stats/base/meanpw/README.md
+++ b/lib/node_modules/@stdlib/stats/base/meanpw/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e4a1cd44f903f1758776279afedd500ce2dc6ddd/lib/node_modules/@stdlib/stats/base/meanpw/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/meanwd/README.md b/lib/node_modules/@stdlib/stats/base/meanwd/README.md
index f1acb0d92b34..80008c4df7dd 100644
--- a/lib/node_modules/@stdlib/stats/base/meanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/meanwd/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fc6aab656f799b0f4440645b873f037d2c9718e6/lib/node_modules/@stdlib/stats/base/meanwd/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanmean/README.md b/lib/node_modules/@stdlib/stats/base/nanmean/README.md
index 6ab2089dd7c7..a13ed07dd001 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanmean/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3d4f5555000c9418c73d1011bcbc3a93f477935e/lib/node_modules/@stdlib/stats/base/nanmean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanmeanors/README.md b/lib/node_modules/@stdlib/stats/base/nanmeanors/README.md
index dc8c18fef4ef..505e77d0369d 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanmeanors/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@9175c13dbc0434906c9644e01a0c6d2f700fc087/lib/node_modules/@stdlib/stats/base/nanmeanors/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanmeanpn/README.md b/lib/node_modules/@stdlib/stats/base/nanmeanpn/README.md
index 5c7fe5cdc08c..4a48a17f883d 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmeanpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanmeanpn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2ac9b5fc22af7280d57e3c9cb1fe08210c697f4f/lib/node_modules/@stdlib/stats/base/nanmeanpn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/nanmeanwd/README.md
index 15dbc39e3177..e9002dab41f0 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanmeanwd/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2f84494bd864b754f743c5eff4fae55faa8ded56/lib/node_modules/@stdlib/stats/base/nanmeanwd/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanstdev/README.md b/lib/node_modules/@stdlib/stats/base/nanstdev/README.md
index a3eb59d6f81c..cd869ae063b8 100644
--- a/lib/node_modules/@stdlib/stats/base/nanstdev/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanstdev/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0107c03fabe5a0b2407ad2e37d6e1545f0b501b8/lib/node_modules/@stdlib/stats/base/nanstdev/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0107c03fabe5a0b2407ad2e37d6e1545f0b501b8/lib/node_modules/@stdlib/stats/base/nanstdev/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0107c03fabe5a0b2407ad2e37d6e1545f0b501b8/lib/node_modules/@stdlib/stats/base/nanstdev/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0107c03fabe5a0b2407ad2e37d6e1545f0b501b8/lib/node_modules/@stdlib/stats/base/nanstdev/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanstdevch/README.md b/lib/node_modules/@stdlib/stats/base/nanstdevch/README.md
index 52c83b5ba433..aa8abc3a0653 100644
--- a/lib/node_modules/@stdlib/stats/base/nanstdevch/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanstdevch/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/base/nanstdevch/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/base/nanstdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/base/nanstdevch/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e592576989e92b8def74a5fbac9109f3a81f16f9/lib/node_modules/@stdlib/stats/base/nanstdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanstdevpn/README.md b/lib/node_modules/@stdlib/stats/base/nanstdevpn/README.md
index f5f25a1ee2c1..d4d071c1e6b7 100644
--- a/lib/node_modules/@stdlib/stats/base/nanstdevpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanstdevpn/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8e7c31bfe267fe8d9af267eb3ae880d98772a2d1/lib/node_modules/@stdlib/stats/base/nanstdevpn/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8e7c31bfe267fe8d9af267eb3ae880d98772a2d1/lib/node_modules/@stdlib/stats/base/nanstdevpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8e7c31bfe267fe8d9af267eb3ae880d98772a2d1/lib/node_modules/@stdlib/stats/base/nanstdevpn/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8e7c31bfe267fe8d9af267eb3ae880d98772a2d1/lib/node_modules/@stdlib/stats/base/nanstdevpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanstdevtk/README.md b/lib/node_modules/@stdlib/stats/base/nanstdevtk/README.md
index 3e2be4c5b9c2..7c4d7a997f7f 100644
--- a/lib/node_modules/@stdlib/stats/base/nanstdevtk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanstdevtk/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2e256347b5576a6bb61919dc12bde15a7fd59ae8/lib/node_modules/@stdlib/stats/base/nanstdevtk/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2e256347b5576a6bb61919dc12bde15a7fd59ae8/lib/node_modules/@stdlib/stats/base/nanstdevtk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2e256347b5576a6bb61919dc12bde15a7fd59ae8/lib/node_modules/@stdlib/stats/base/nanstdevtk/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@2e256347b5576a6bb61919dc12bde15a7fd59ae8/lib/node_modules/@stdlib/stats/base/nanstdevtk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanstdevwd/README.md b/lib/node_modules/@stdlib/stats/base/nanstdevwd/README.md
index e9a501bccc31..2c091fd267b7 100644
--- a/lib/node_modules/@stdlib/stats/base/nanstdevwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanstdevwd/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/base/nanstdevwd/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/base/nanstdevwd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/base/nanstdevwd/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6ed5b63b6ce33d2915ce2862c86d55ae33cdb609/lib/node_modules/@stdlib/stats/base/nanstdevwd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanstdevyc/README.md b/lib/node_modules/@stdlib/stats/base/nanstdevyc/README.md
index e77ec76eeb56..035d8a165c74 100644
--- a/lib/node_modules/@stdlib/stats/base/nanstdevyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanstdevyc/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fd9ce3e3db4eb5f6a809d92f1baa358dbfd134b0/lib/node_modules/@stdlib/stats/base/nanstdevyc/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fd9ce3e3db4eb5f6a809d92f1baa358dbfd134b0/lib/node_modules/@stdlib/stats/base/nanstdevyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fd9ce3e3db4eb5f6a809d92f1baa358dbfd134b0/lib/node_modules/@stdlib/stats/base/nanstdevyc/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fd9ce3e3db4eb5f6a809d92f1baa358dbfd134b0/lib/node_modules/@stdlib/stats/base/nanstdevyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanvariance/README.md b/lib/node_modules/@stdlib/stats/base/nanvariance/README.md
index f27beb45f077..1cf829ea218a 100644
--- a/lib/node_modules/@stdlib/stats/base/nanvariance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanvariance/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/base/nanvariance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/base/nanvariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/base/nanvariance/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/base/nanvariance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanvariancech/README.md b/lib/node_modules/@stdlib/stats/base/nanvariancech/README.md
index 5206ba19d74d..479cf68094bd 100644
--- a/lib/node_modules/@stdlib/stats/base/nanvariancech/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanvariancech/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@a42764beff9494374912d93a140da3491f12e2cc/lib/node_modules/@stdlib/stats/base/nanvariancech/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@a42764beff9494374912d93a140da3491f12e2cc/lib/node_modules/@stdlib/stats/base/nanvariancech/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@a42764beff9494374912d93a140da3491f12e2cc/lib/node_modules/@stdlib/stats/base/nanvariancech/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@a42764beff9494374912d93a140da3491f12e2cc/lib/node_modules/@stdlib/stats/base/nanvariancech/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanvariancepn/README.md b/lib/node_modules/@stdlib/stats/base/nanvariancepn/README.md
index d851725f79c1..fbefab955fef 100644
--- a/lib/node_modules/@stdlib/stats/base/nanvariancepn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanvariancepn/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e3faa6fa37ba4ddb60d75018f4d1d3ce16c9bc60/lib/node_modules/@stdlib/stats/base/nanvariancepn/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e3faa6fa37ba4ddb60d75018f4d1d3ce16c9bc60/lib/node_modules/@stdlib/stats/base/nanvariancepn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e3faa6fa37ba4ddb60d75018f4d1d3ce16c9bc60/lib/node_modules/@stdlib/stats/base/nanvariancepn/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e3faa6fa37ba4ddb60d75018f4d1d3ce16c9bc60/lib/node_modules/@stdlib/stats/base/nanvariancepn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanvariancetk/README.md b/lib/node_modules/@stdlib/stats/base/nanvariancetk/README.md
index 20917f4d3a1a..48ef01f74076 100644
--- a/lib/node_modules/@stdlib/stats/base/nanvariancetk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanvariancetk/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0749b7b31875c183f47939662b8fb607bd381d06/lib/node_modules/@stdlib/stats/base/nanvariancetk/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0749b7b31875c183f47939662b8fb607bd381d06/lib/node_modules/@stdlib/stats/base/nanvariancetk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0749b7b31875c183f47939662b8fb607bd381d06/lib/node_modules/@stdlib/stats/base/nanvariancetk/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0749b7b31875c183f47939662b8fb607bd381d06/lib/node_modules/@stdlib/stats/base/nanvariancetk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanvariancewd/README.md b/lib/node_modules/@stdlib/stats/base/nanvariancewd/README.md
index cdd8e5c823f7..35df01d49a2b 100644
--- a/lib/node_modules/@stdlib/stats/base/nanvariancewd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanvariancewd/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/base/nanvariancewd/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/base/nanvariancewd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/base/nanvariancewd/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e50971c12e3bc534fe464a6f19ba362bb168c8e4/lib/node_modules/@stdlib/stats/base/nanvariancewd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanvarianceyc/README.md b/lib/node_modules/@stdlib/stats/base/nanvarianceyc/README.md
index 8a566c043126..f49d0ef84510 100644
--- a/lib/node_modules/@stdlib/stats/base/nanvarianceyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanvarianceyc/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3d46f4ed82e7419980cddcbf29a4ee1305522e1a/lib/node_modules/@stdlib/stats/base/nanvarianceyc/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3d46f4ed82e7419980cddcbf29a4ee1305522e1a/lib/node_modules/@stdlib/stats/base/nanvarianceyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3d46f4ed82e7419980cddcbf29a4ee1305522e1a/lib/node_modules/@stdlib/stats/base/nanvarianceyc/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3d46f4ed82e7419980cddcbf29a4ee1305522e1a/lib/node_modules/@stdlib/stats/base/nanvarianceyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/sdsmean/README.md b/lib/node_modules/@stdlib/stats/base/sdsmean/README.md
index 75d5002da676..c7a74022dd77 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sdsmean/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@caf18549c5e6000a1e8d277bcc2240e1542606e5/lib/node_modules/@stdlib/stats/base/sdsmean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/sdsmeanors/README.md b/lib/node_modules/@stdlib/stats/base/sdsmeanors/README.md
index af20345b4cec..b6735cf153ed 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sdsmeanors/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@9574215d8f1ec3317909171013cf282fd8db9b91/lib/node_modules/@stdlib/stats/base/sdsmeanors/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmean/README.md b/lib/node_modules/@stdlib/stats/base/sdsnanmean/README.md
index 0096eebcc647..cc496e85f3da 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmean/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7638f611df506ae4d657dfba78a23ad5a04d904a/lib/node_modules/@stdlib/stats/base/sdsnanmean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/README.md b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/README.md
index 2c03d9f58300..4e3b564c181a 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@82c213aa9e50a526a211738bd131d252b5c9db6d/lib/node_modules/@stdlib/stats/base/sdsnanmeanors/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/smean/README.md b/lib/node_modules/@stdlib/stats/base/smean/README.md
index 2a23f45b9a0b..bc851c0b90ee 100644
--- a/lib/node_modules/@stdlib/stats/base/smean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/smean/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@e9eeef03fa621fd289dc3b319820a41c30682e13/lib/node_modules/@stdlib/stats/base/smean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeankbn/README.md b/lib/node_modules/@stdlib/stats/base/smeankbn/README.md
index 47275b5b554f..dabfac1a840d 100644
--- a/lib/node_modules/@stdlib/stats/base/smeankbn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/smeankbn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@71e99951f1abf7e79d5749b45e2fdac90d853b85/lib/node_modules/@stdlib/stats/base/smeankbn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeankbn2/README.md b/lib/node_modules/@stdlib/stats/base/smeankbn2/README.md
index bf996e64f6be..4dda1cd483d5 100644
--- a/lib/node_modules/@stdlib/stats/base/smeankbn2/README.md
+++ b/lib/node_modules/@stdlib/stats/base/smeankbn2/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@382291df7e9a618515aa6f25847b0ed24be72b6d/lib/node_modules/@stdlib/stats/base/smeankbn2/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanli/README.md b/lib/node_modules/@stdlib/stats/base/smeanli/README.md
index 518c2515eb82..a784871351ac 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanli/README.md
+++ b/lib/node_modules/@stdlib/stats/base/smeanli/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@fcea3760d526dcb339d39f08234705c4d6e44bbf/lib/node_modules/@stdlib/stats/base/smeanli/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/README.md b/lib/node_modules/@stdlib/stats/base/smeanlipw/README.md
index a098877e40e9..57a3fe2d765b 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/README.md
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@39c6ac0ef47c7ee94007922f3602eb7e69a658c0/lib/node_modules/@stdlib/stats/base/smeanlipw/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanors/README.md b/lib/node_modules/@stdlib/stats/base/smeanors/README.md
index c195903c2b0b..562c8b729a38 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/smeanors/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6c9ade4d7509dfc873ce2dad241f92459a83313b/lib/node_modules/@stdlib/stats/base/smeanors/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanpn/README.md b/lib/node_modules/@stdlib/stats/base/smeanpn/README.md
index f7297f0c56d8..fff97c6bbfc4 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/smeanpn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ee38ede2c8727409811efbaa225f0e3e222cbb32/lib/node_modules/@stdlib/stats/base/smeanpn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanpw/README.md b/lib/node_modules/@stdlib/stats/base/smeanpw/README.md
index 1aa5002d0e7e..299dbd72be49 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanpw/README.md
+++ b/lib/node_modules/@stdlib/stats/base/smeanpw/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@4e01bf1a6def3724365a21d1d5af31b9c5774041/lib/node_modules/@stdlib/stats/base/smeanpw/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanwd/README.md b/lib/node_modules/@stdlib/stats/base/smeanwd/README.md
index cd746291c8c9..a66534f117e4 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/smeanwd/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f1d6a04661a8ff74c1891ea4cdf8304d3cba3ccf/lib/node_modules/@stdlib/stats/base/smeanwd/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanmean/README.md b/lib/node_modules/@stdlib/stats/base/snanmean/README.md
index 89ec8990ffca..bcff56d4ee58 100644
--- a/lib/node_modules/@stdlib/stats/base/snanmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanmean/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@60af5c459896bb85413697508c87c6a069a60e57/lib/node_modules/@stdlib/stats/base/snanmean/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanmeanors/README.md b/lib/node_modules/@stdlib/stats/base/snanmeanors/README.md
index 9e868f7cca8e..fcb3edbeca24 100644
--- a/lib/node_modules/@stdlib/stats/base/snanmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanmeanors/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@8aea2a0cdd426388aeb325d5711205df9b5bd1af/lib/node_modules/@stdlib/stats/base/snanmeanors/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanmeanpn/README.md b/lib/node_modules/@stdlib/stats/base/snanmeanpn/README.md
index bc34ca783798..a99794c0331f 100644
--- a/lib/node_modules/@stdlib/stats/base/snanmeanpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanmeanpn/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c2e2726ac8dee5aa32ff0b440c343d46749c4011/lib/node_modules/@stdlib/stats/base/snanmeanpn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/snanmeanwd/README.md
index 3510a343f990..0ba6cc043fab 100644
--- a/lib/node_modules/@stdlib/stats/base/snanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanmeanwd/README.md
@@ -28,10 +28,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 
 <!-- <equation class="equation" label="eq:arithmetic_mean" align="center" raw="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the arithmetic mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:arithmetic_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b11f5e9b032ce5e4ebf0c99656a580d995c532b0/lib/node_modules/@stdlib/stats/base/snanmeanwd/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanstdev/README.md b/lib/node_modules/@stdlib/stats/base/snanstdev/README.md
index 970730f2e694..be2fd408d6c0 100644
--- a/lib/node_modules/@stdlib/stats/base/snanstdev/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanstdev/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@32e02a8ecd927b67d8efe170c8fe9075787f2411/lib/node_modules/@stdlib/stats/base/snanstdev/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@32e02a8ecd927b67d8efe170c8fe9075787f2411/lib/node_modules/@stdlib/stats/base/snanstdev/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@32e02a8ecd927b67d8efe170c8fe9075787f2411/lib/node_modules/@stdlib/stats/base/snanstdev/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@32e02a8ecd927b67d8efe170c8fe9075787f2411/lib/node_modules/@stdlib/stats/base/snanstdev/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanstdevch/README.md b/lib/node_modules/@stdlib/stats/base/snanstdevch/README.md
index 4d08b6eb9466..cffeee917341 100644
--- a/lib/node_modules/@stdlib/stats/base/snanstdevch/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanstdevch/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7dd4b789ac30ef94a4ae9b162ee6ae5a5b28b41a/lib/node_modules/@stdlib/stats/base/snanstdevch/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7dd4b789ac30ef94a4ae9b162ee6ae5a5b28b41a/lib/node_modules/@stdlib/stats/base/snanstdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7dd4b789ac30ef94a4ae9b162ee6ae5a5b28b41a/lib/node_modules/@stdlib/stats/base/snanstdevch/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7dd4b789ac30ef94a4ae9b162ee6ae5a5b28b41a/lib/node_modules/@stdlib/stats/base/snanstdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanstdevpn/README.md b/lib/node_modules/@stdlib/stats/base/snanstdevpn/README.md
index b9dbaccc593c..490a7b3456df 100644
--- a/lib/node_modules/@stdlib/stats/base/snanstdevpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanstdevpn/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0ddbe81cc0180e06d3ff9b02ff6e1e5b752bb524/lib/node_modules/@stdlib/stats/base/snanstdevpn/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0ddbe81cc0180e06d3ff9b02ff6e1e5b752bb524/lib/node_modules/@stdlib/stats/base/snanstdevpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0ddbe81cc0180e06d3ff9b02ff6e1e5b752bb524/lib/node_modules/@stdlib/stats/base/snanstdevpn/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@0ddbe81cc0180e06d3ff9b02ff6e1e5b752bb524/lib/node_modules/@stdlib/stats/base/snanstdevpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanstdevtk/README.md b/lib/node_modules/@stdlib/stats/base/snanstdevtk/README.md
index 0e7b4ec2938e..4a8229b743f2 100644
--- a/lib/node_modules/@stdlib/stats/base/snanstdevtk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanstdevtk/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@30aa8f4333f62d8bfaa4cce77df48e63c349da13/lib/node_modules/@stdlib/stats/base/snanstdevtk/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@30aa8f4333f62d8bfaa4cce77df48e63c349da13/lib/node_modules/@stdlib/stats/base/snanstdevtk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@30aa8f4333f62d8bfaa4cce77df48e63c349da13/lib/node_modules/@stdlib/stats/base/snanstdevtk/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@30aa8f4333f62d8bfaa4cce77df48e63c349da13/lib/node_modules/@stdlib/stats/base/snanstdevtk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanstdevwd/README.md b/lib/node_modules/@stdlib/stats/base/snanstdevwd/README.md
index c00b8c7f909a..15b39df6f55b 100644
--- a/lib/node_modules/@stdlib/stats/base/snanstdevwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanstdevwd/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d0d54b51b5083f6830382c941d70e6c7363d7b97/lib/node_modules/@stdlib/stats/base/snanstdevwd/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d0d54b51b5083f6830382c941d70e6c7363d7b97/lib/node_modules/@stdlib/stats/base/snanstdevwd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d0d54b51b5083f6830382c941d70e6c7363d7b97/lib/node_modules/@stdlib/stats/base/snanstdevwd/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d0d54b51b5083f6830382c941d70e6c7363d7b97/lib/node_modules/@stdlib/stats/base/snanstdevwd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanstdevyc/README.md b/lib/node_modules/@stdlib/stats/base/snanstdevyc/README.md
index 8e76408fc801..358b8299fcff 100644
--- a/lib/node_modules/@stdlib/stats/base/snanstdevyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanstdevyc/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b67580460d19ae4dd4a48a0c10d5f218a9c3c7f7/lib/node_modules/@stdlib/stats/base/snanstdevyc/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b67580460d19ae4dd4a48a0c10d5f218a9c3c7f7/lib/node_modules/@stdlib/stats/base/snanstdevyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b67580460d19ae4dd4a48a0c10d5f218a9c3c7f7/lib/node_modules/@stdlib/stats/base/snanstdevyc/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b67580460d19ae4dd4a48a0c10d5f218a9c3c7f7/lib/node_modules/@stdlib/stats/base/snanstdevyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanvariance/README.md b/lib/node_modules/@stdlib/stats/base/snanvariance/README.md
index e5f2850b3171..3e152a17494c 100644
--- a/lib/node_modules/@stdlib/stats/base/snanvariance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanvariance/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@9ccc2be07b155022bc78ae97c29f16f55c37adde/lib/node_modules/@stdlib/stats/base/snanvariance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@9ccc2be07b155022bc78ae97c29f16f55c37adde/lib/node_modules/@stdlib/stats/base/snanvariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@9ccc2be07b155022bc78ae97c29f16f55c37adde/lib/node_modules/@stdlib/stats/base/snanvariance/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@9ccc2be07b155022bc78ae97c29f16f55c37adde/lib/node_modules/@stdlib/stats/base/snanvariance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanvariancech/README.md b/lib/node_modules/@stdlib/stats/base/snanvariancech/README.md
index 7f05a5544fd2..ddfb129489e7 100644
--- a/lib/node_modules/@stdlib/stats/base/snanvariancech/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanvariancech/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@593b8d50a1058699be05a387cbf1bb752f63b581/lib/node_modules/@stdlib/stats/base/snanvariancech/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@593b8d50a1058699be05a387cbf1bb752f63b581/lib/node_modules/@stdlib/stats/base/snanvariancech/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@593b8d50a1058699be05a387cbf1bb752f63b581/lib/node_modules/@stdlib/stats/base/snanvariancech/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@593b8d50a1058699be05a387cbf1bb752f63b581/lib/node_modules/@stdlib/stats/base/snanvariancech/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanvariancepn/README.md b/lib/node_modules/@stdlib/stats/base/snanvariancepn/README.md
index d0d108d969f8..5dc2b610a058 100644
--- a/lib/node_modules/@stdlib/stats/base/snanvariancepn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanvariancepn/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d78f524f2ccddb696670f1a30bb4a39b5b6e8e19/lib/node_modules/@stdlib/stats/base/snanvariancepn/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d78f524f2ccddb696670f1a30bb4a39b5b6e8e19/lib/node_modules/@stdlib/stats/base/snanvariancepn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d78f524f2ccddb696670f1a30bb4a39b5b6e8e19/lib/node_modules/@stdlib/stats/base/snanvariancepn/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d78f524f2ccddb696670f1a30bb4a39b5b6e8e19/lib/node_modules/@stdlib/stats/base/snanvariancepn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanvariancetk/README.md b/lib/node_modules/@stdlib/stats/base/snanvariancetk/README.md
index fd979fb1e6c8..1a6d06d92acb 100644
--- a/lib/node_modules/@stdlib/stats/base/snanvariancetk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanvariancetk/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@297a3840571ec47b113a85d876281fa719ae6570/lib/node_modules/@stdlib/stats/base/snanvariancetk/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@297a3840571ec47b113a85d876281fa719ae6570/lib/node_modules/@stdlib/stats/base/snanvariancetk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@297a3840571ec47b113a85d876281fa719ae6570/lib/node_modules/@stdlib/stats/base/snanvariancetk/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@297a3840571ec47b113a85d876281fa719ae6570/lib/node_modules/@stdlib/stats/base/snanvariancetk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanvariancewd/README.md b/lib/node_modules/@stdlib/stats/base/snanvariancewd/README.md
index 27f2796b7443..3bfb237d57e9 100644
--- a/lib/node_modules/@stdlib/stats/base/snanvariancewd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanvariancewd/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ac7a6d2eca8922d64ee29d5a20967d8e08c7a2c9/lib/node_modules/@stdlib/stats/base/snanvariancewd/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ac7a6d2eca8922d64ee29d5a20967d8e08c7a2c9/lib/node_modules/@stdlib/stats/base/snanvariancewd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ac7a6d2eca8922d64ee29d5a20967d8e08c7a2c9/lib/node_modules/@stdlib/stats/base/snanvariancewd/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ac7a6d2eca8922d64ee29d5a20967d8e08c7a2c9/lib/node_modules/@stdlib/stats/base/snanvariancewd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/snanvarianceyc/README.md b/lib/node_modules/@stdlib/stats/base/snanvarianceyc/README.md
index b67670eb49fb..b7ce9c93311b 100644
--- a/lib/node_modules/@stdlib/stats/base/snanvarianceyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/snanvarianceyc/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@47b7d7689f3a010a891ded0d7e6c5fe4e35151ac/lib/node_modules/@stdlib/stats/base/snanvarianceyc/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@47b7d7689f3a010a891ded0d7e6c5fe4e35151ac/lib/node_modules/@stdlib/stats/base/snanvarianceyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@47b7d7689f3a010a891ded0d7e6c5fe4e35151ac/lib/node_modules/@stdlib/stats/base/snanvarianceyc/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@47b7d7689f3a010a891ded0d7e6c5fe4e35151ac/lib/node_modules/@stdlib/stats/base/snanvarianceyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/sstdev/README.md b/lib/node_modules/@stdlib/stats/base/sstdev/README.md
index 7a8ca8f50a89..1c296336602c 100644
--- a/lib/node_modules/@stdlib/stats/base/sstdev/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sstdev/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@67091a0034a87c8f740c11bbab077fdcbf36b3af/lib/node_modules/@stdlib/stats/base/sstdev/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@67091a0034a87c8f740c11bbab077fdcbf36b3af/lib/node_modules/@stdlib/stats/base/sstdev/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@67091a0034a87c8f740c11bbab077fdcbf36b3af/lib/node_modules/@stdlib/stats/base/sstdev/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@67091a0034a87c8f740c11bbab077fdcbf36b3af/lib/node_modules/@stdlib/stats/base/sstdev/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/sstdevch/README.md b/lib/node_modules/@stdlib/stats/base/sstdevch/README.md
index 249a67337d96..24a8bf737b56 100644
--- a/lib/node_modules/@stdlib/stats/base/sstdevch/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sstdevch/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@a2eb017b4242a1f966fd6d369ddf229a6d7be037/lib/node_modules/@stdlib/stats/base/sstdevch/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@a2eb017b4242a1f966fd6d369ddf229a6d7be037/lib/node_modules/@stdlib/stats/base/sstdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@a2eb017b4242a1f966fd6d369ddf229a6d7be037/lib/node_modules/@stdlib/stats/base/sstdevch/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@a2eb017b4242a1f966fd6d369ddf229a6d7be037/lib/node_modules/@stdlib/stats/base/sstdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/sstdevpn/README.md b/lib/node_modules/@stdlib/stats/base/sstdevpn/README.md
index 2a7e08622ac5..30b5db737050 100644
--- a/lib/node_modules/@stdlib/stats/base/sstdevpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sstdevpn/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c3b591460d7680b7a5301cbae59ddc99f21dc257/lib/node_modules/@stdlib/stats/base/sstdevpn/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c3b591460d7680b7a5301cbae59ddc99f21dc257/lib/node_modules/@stdlib/stats/base/sstdevpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c3b591460d7680b7a5301cbae59ddc99f21dc257/lib/node_modules/@stdlib/stats/base/sstdevpn/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c3b591460d7680b7a5301cbae59ddc99f21dc257/lib/node_modules/@stdlib/stats/base/sstdevpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/sstdevtk/README.md b/lib/node_modules/@stdlib/stats/base/sstdevtk/README.md
index 3df4eaaf21af..86674e29aff4 100644
--- a/lib/node_modules/@stdlib/stats/base/sstdevtk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sstdevtk/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f7d3b7aaae5a31aaf11ed9d6a1d4fd4cfa7987ca/lib/node_modules/@stdlib/stats/base/sstdevtk/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f7d3b7aaae5a31aaf11ed9d6a1d4fd4cfa7987ca/lib/node_modules/@stdlib/stats/base/sstdevtk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f7d3b7aaae5a31aaf11ed9d6a1d4fd4cfa7987ca/lib/node_modules/@stdlib/stats/base/sstdevtk/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f7d3b7aaae5a31aaf11ed9d6a1d4fd4cfa7987ca/lib/node_modules/@stdlib/stats/base/sstdevtk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/sstdevwd/README.md b/lib/node_modules/@stdlib/stats/base/sstdevwd/README.md
index d1041e57b441..e7fbf8a54a40 100644
--- a/lib/node_modules/@stdlib/stats/base/sstdevwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sstdevwd/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@191e80ea7ce5a449a2eed8f328eb4d8aae25ff1e/lib/node_modules/@stdlib/stats/base/sstdevwd/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@191e80ea7ce5a449a2eed8f328eb4d8aae25ff1e/lib/node_modules/@stdlib/stats/base/sstdevwd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@191e80ea7ce5a449a2eed8f328eb4d8aae25ff1e/lib/node_modules/@stdlib/stats/base/sstdevwd/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@191e80ea7ce5a449a2eed8f328eb4d8aae25ff1e/lib/node_modules/@stdlib/stats/base/sstdevwd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/sstdevyc/README.md b/lib/node_modules/@stdlib/stats/base/sstdevyc/README.md
index f027224e41e5..5907eff1f536 100644
--- a/lib/node_modules/@stdlib/stats/base/sstdevyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sstdevyc/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d5964bd0612c1c1a8e533bd849e01e58433d9dcf/lib/node_modules/@stdlib/stats/base/sstdevyc/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d5964bd0612c1c1a8e533bd849e01e58433d9dcf/lib/node_modules/@stdlib/stats/base/sstdevyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d5964bd0612c1c1a8e533bd849e01e58433d9dcf/lib/node_modules/@stdlib/stats/base/sstdevyc/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@d5964bd0612c1c1a8e533bd849e01e58433d9dcf/lib/node_modules/@stdlib/stats/base/sstdevyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/stdev/README.md b/lib/node_modules/@stdlib/stats/base/stdev/README.md
index f3f6e4476796..1ddf01b10995 100644
--- a/lib/node_modules/@stdlib/stats/base/stdev/README.md
+++ b/lib/node_modules/@stdlib/stats/base/stdev/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@08ca32895957967bd760a4fe02d61762432a0b72/lib/node_modules/@stdlib/stats/base/stdev/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@08ca32895957967bd760a4fe02d61762432a0b72/lib/node_modules/@stdlib/stats/base/stdev/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@08ca32895957967bd760a4fe02d61762432a0b72/lib/node_modules/@stdlib/stats/base/stdev/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@08ca32895957967bd760a4fe02d61762432a0b72/lib/node_modules/@stdlib/stats/base/stdev/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -234,10 +250,6 @@ console.log( v );
 
 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
 
-[@stdlib/stats/base/dstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdev
-
-[@stdlib/stats/base/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdev
-
 <!-- <related-links> -->
 
 [@stdlib/stats/base/dstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdev
diff --git a/lib/node_modules/@stdlib/stats/base/stdevch/README.md b/lib/node_modules/@stdlib/stats/base/stdevch/README.md
index 27a0a025b6f8..ea75e4bdb1b4 100644
--- a/lib/node_modules/@stdlib/stats/base/stdevch/README.md
+++ b/lib/node_modules/@stdlib/stats/base/stdevch/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/stdevpn/README.md b/lib/node_modules/@stdlib/stats/base/stdevpn/README.md
index 91094e0b6a32..83655d3abc52 100644
--- a/lib/node_modules/@stdlib/stats/base/stdevpn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/stdevpn/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/base/stdevpn/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/base/stdevpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/base/stdevpn/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/base/stdevpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/stdevtk/README.md b/lib/node_modules/@stdlib/stats/base/stdevtk/README.md
index d5efd911c0f5..927988055cd5 100644
--- a/lib/node_modules/@stdlib/stats/base/stdevtk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/stdevtk/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/base/stdevtk/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/base/stdevtk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/base/stdevtk/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/base/stdevtk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/stdevwd/README.md b/lib/node_modules/@stdlib/stats/base/stdevwd/README.md
index 52a5525b6c23..cf40262beb09 100644
--- a/lib/node_modules/@stdlib/stats/base/stdevwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/stdevwd/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/base/stdevwd/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/base/stdevwd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/base/stdevwd/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@90512ed90d4af5fbbe76b3e88575682f8196ac54/lib/node_modules/@stdlib/stats/base/stdevwd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/stdevyc/README.md b/lib/node_modules/@stdlib/stats/base/stdevyc/README.md
index 400bb07bd266..2ddfad8004fa 100644
--- a/lib/node_modules/@stdlib/stats/base/stdevyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/stdevyc/README.md
@@ -28,10 +28,14 @@ The population [standard deviation][standard-deviation] of a finite size populat
 
 <!-- <equation class="equation" label="eq:population_standard_deviation" align="center" raw="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" alt="Equation for the population standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
+```math
+\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@425217464d5d132b77bbfeea67dc2d8f8c58139f/lib/node_modules/@stdlib/stats/base/stdevyc/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@425217464d5d132b77bbfeea67dc2d8f8c58139f/lib/node_modules/@stdlib/stats/base/stdevyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [standard deviation][standard
 
 <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" alt="Equation for computing a corrected sample standard deviation."> -->
 
-<div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
+```math
+s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@425217464d5d132b77bbfeea67dc2d8f8c58139f/lib/node_modules/@stdlib/stats/base/stdevyc/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@425217464d5d132b77bbfeea67dc2d8f8c58139f/lib/node_modules/@stdlib/stats/base/stdevyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/svariance/README.md b/lib/node_modules/@stdlib/stats/base/svariance/README.md
index 5352e22e3862..fa71a5a99ffc 100644
--- a/lib/node_modules/@stdlib/stats/base/svariance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/svariance/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@839977fd2e3a8d0b5cdd9aa567ce53a5979ceed5/lib/node_modules/@stdlib/stats/base/svariance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@839977fd2e3a8d0b5cdd9aa567ce53a5979ceed5/lib/node_modules/@stdlib/stats/base/svariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@839977fd2e3a8d0b5cdd9aa567ce53a5979ceed5/lib/node_modules/@stdlib/stats/base/svariance/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@839977fd2e3a8d0b5cdd9aa567ce53a5979ceed5/lib/node_modules/@stdlib/stats/base/svariance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/svariancech/README.md b/lib/node_modules/@stdlib/stats/base/svariancech/README.md
index 0822a3daae67..5ce6463a8869 100644
--- a/lib/node_modules/@stdlib/stats/base/svariancech/README.md
+++ b/lib/node_modules/@stdlib/stats/base/svariancech/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ba9e5aab9fcc20daf1e39f371ce5960c1a355aab/lib/node_modules/@stdlib/stats/base/svariancech/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ba9e5aab9fcc20daf1e39f371ce5960c1a355aab/lib/node_modules/@stdlib/stats/base/svariancech/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ba9e5aab9fcc20daf1e39f371ce5960c1a355aab/lib/node_modules/@stdlib/stats/base/svariancech/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ba9e5aab9fcc20daf1e39f371ce5960c1a355aab/lib/node_modules/@stdlib/stats/base/svariancech/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/svariancepn/README.md b/lib/node_modules/@stdlib/stats/base/svariancepn/README.md
index fb82969fe618..2e8f965b47d8 100644
--- a/lib/node_modules/@stdlib/stats/base/svariancepn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/svariancepn/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7f50f4867162f997ef132af6b5dbfd4480eb1f22/lib/node_modules/@stdlib/stats/base/svariancepn/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7f50f4867162f997ef132af6b5dbfd4480eb1f22/lib/node_modules/@stdlib/stats/base/svariancepn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7f50f4867162f997ef132af6b5dbfd4480eb1f22/lib/node_modules/@stdlib/stats/base/svariancepn/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7f50f4867162f997ef132af6b5dbfd4480eb1f22/lib/node_modules/@stdlib/stats/base/svariancepn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/svariancetk/README.md b/lib/node_modules/@stdlib/stats/base/svariancetk/README.md
index 2d7de820839f..4b894f4dc155 100644
--- a/lib/node_modules/@stdlib/stats/base/svariancetk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/svariancetk/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6da3e7388e483798f23a9ce30fcb35f454e7e3b4/lib/node_modules/@stdlib/stats/base/svariancetk/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6da3e7388e483798f23a9ce30fcb35f454e7e3b4/lib/node_modules/@stdlib/stats/base/svariancetk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ After rearranging terms, the population [variance][variance] can be equivalently
 
 <!-- <equation class="equation" label="eq:population_variance_textbook" align="center" raw="\sigma^2 = \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i^2 - \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i \ \biggr)^2\ \biggr)" alt="Equation for the population variance (one-pass textbook formula)."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i^2 - \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i \ \biggr)^2\ \biggr)" data-equation="eq:population_variance_textbook">
+```math
+\sigma^2 = \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i^2 - \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i \ \biggr)^2\ \biggr)
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i^2 - \frac{1}{N}\biggl(\ \sum_{i=0}^{N-1} x_i \ \biggr)^2\ \biggr)" data-equation="eq:population_variance_textbook">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6da3e7388e483798f23a9ce30fcb35f454e7e3b4/lib/node_modules/@stdlib/stats/base/svariancetk/docs/img/equation_population_variance_textbook.svg" alt="Equation for the population variance (one-pass textbook formula).">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6da3e7388e483798f23a9ce30fcb35f454e7e3b4/lib/node_modules/@stdlib/stats/base/svariancetk/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -72,10 +88,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6da3e7388e483798f23a9ce30fcb35f454e7e3b4/lib/node_modules/@stdlib/stats/base/svariancetk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -83,10 +103,14 @@ Similar to the population [variance][variance], after rearranging terms, the **u
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance_textbook" align="center" raw="s^2 = \frac{1}{n-1}\biggl(\ \sum_{i=0}^{n-1} x_i^2 - \frac{1}{n}\biggl(\ \sum_{i=0}^{n-1} x_i \ \biggr)^2\ \biggr)" alt="Equation for the unbiased sample variance (one-pass textbook formula)."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1}\biggl(\ \sum_{i=0}^{n-1} x_i^2 - \frac{1}{n}\biggl(\ \sum_{i=0}^{n-1} x_i \ \biggr)^2\ \biggr)" data-equation="eq:unbiased_sample_variance_textbook">
+```math
+s^2 = \frac{1}{n-1}\biggl(\ \sum_{i=0}^{n-1} x_i^2 - \frac{1}{n}\biggl(\ \sum_{i=0}^{n-1} x_i \ \biggr)^2\ \biggr)
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1}\biggl(\ \sum_{i=0}^{n-1} x_i^2 - \frac{1}{n}\biggl(\ \sum_{i=0}^{n-1} x_i \ \biggr)^2\ \biggr)" data-equation="eq:unbiased_sample_variance_textbook">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6da3e7388e483798f23a9ce30fcb35f454e7e3b4/lib/node_modules/@stdlib/stats/base/svariancetk/docs/img/equation_unbiased_sample_variance_textbook.svg" alt="Equation for the unbiased sample variance (one-pass textbook formula).">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/svariancewd/README.md b/lib/node_modules/@stdlib/stats/base/svariancewd/README.md
index a085b0227813..3c0591778073 100644
--- a/lib/node_modules/@stdlib/stats/base/svariancewd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/svariancewd/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c8735f67ade621a99b0d5e0fb6d3d4525ed548d7/lib/node_modules/@stdlib/stats/base/svariancewd/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c8735f67ade621a99b0d5e0fb6d3d4525ed548d7/lib/node_modules/@stdlib/stats/base/svariancewd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c8735f67ade621a99b0d5e0fb6d3d4525ed548d7/lib/node_modules/@stdlib/stats/base/svariancewd/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c8735f67ade621a99b0d5e0fb6d3d4525ed548d7/lib/node_modules/@stdlib/stats/base/svariancewd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/svarianceyc/README.md b/lib/node_modules/@stdlib/stats/base/svarianceyc/README.md
index 5b537af8f704..b10f32fc6bbb 100644
--- a/lib/node_modules/@stdlib/stats/base/svarianceyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/svarianceyc/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@19f3f41cde2b0aee2632b418eb7d7e9c1ea7d5dc/lib/node_modules/@stdlib/stats/base/svarianceyc/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@19f3f41cde2b0aee2632b418eb7d7e9c1ea7d5dc/lib/node_modules/@stdlib/stats/base/svarianceyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@19f3f41cde2b0aee2632b418eb7d7e9c1ea7d5dc/lib/node_modules/@stdlib/stats/base/svarianceyc/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@19f3f41cde2b0aee2632b418eb7d7e9c1ea7d5dc/lib/node_modules/@stdlib/stats/base/svarianceyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/variance/README.md b/lib/node_modules/@stdlib/stats/base/variance/README.md
index 6cce04b3940e..916d85c4a011 100644
--- a/lib/node_modules/@stdlib/stats/base/variance/README.md
+++ b/lib/node_modules/@stdlib/stats/base/variance/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f19d848ddedc9b0cd891638c29e0a28b10de7afb/lib/node_modules/@stdlib/stats/base/variance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f19d848ddedc9b0cd891638c29e0a28b10de7afb/lib/node_modules/@stdlib/stats/base/variance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f19d848ddedc9b0cd891638c29e0a28b10de7afb/lib/node_modules/@stdlib/stats/base/variance/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@f19d848ddedc9b0cd891638c29e0a28b10de7afb/lib/node_modules/@stdlib/stats/base/variance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/variancech/README.md b/lib/node_modules/@stdlib/stats/base/variancech/README.md
index 5d38f7ad60bc..0ea0e96fc214 100644
--- a/lib/node_modules/@stdlib/stats/base/variancech/README.md
+++ b/lib/node_modules/@stdlib/stats/base/variancech/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3dca005f1b913f2134b72427a73df4f142e255c5/lib/node_modules/@stdlib/stats/base/variancech/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3dca005f1b913f2134b72427a73df4f142e255c5/lib/node_modules/@stdlib/stats/base/variancech/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3dca005f1b913f2134b72427a73df4f142e255c5/lib/node_modules/@stdlib/stats/base/variancech/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@3dca005f1b913f2134b72427a73df4f142e255c5/lib/node_modules/@stdlib/stats/base/variancech/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/variancepn/README.md b/lib/node_modules/@stdlib/stats/base/variancepn/README.md
index 476d5fb473ea..5775585ee772 100644
--- a/lib/node_modules/@stdlib/stats/base/variancepn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/variancepn/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b7aa38ad56dc6dc7e5327fce8074b1d9d61ebe11/lib/node_modules/@stdlib/stats/base/variancepn/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b7aa38ad56dc6dc7e5327fce8074b1d9d61ebe11/lib/node_modules/@stdlib/stats/base/variancepn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b7aa38ad56dc6dc7e5327fce8074b1d9d61ebe11/lib/node_modules/@stdlib/stats/base/variancepn/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b7aa38ad56dc6dc7e5327fce8074b1d9d61ebe11/lib/node_modules/@stdlib/stats/base/variancepn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/variancetk/README.md b/lib/node_modules/@stdlib/stats/base/variancetk/README.md
index 117626916805..6d7e2c24e243 100644
--- a/lib/node_modules/@stdlib/stats/base/variancetk/README.md
+++ b/lib/node_modules/@stdlib/stats/base/variancetk/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ad7ff5d0f71bb4457672a4bc2b7ec47b4581f1bd/lib/node_modules/@stdlib/stats/base/variancetk/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ad7ff5d0f71bb4457672a4bc2b7ec47b4581f1bd/lib/node_modules/@stdlib/stats/base/variancetk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ad7ff5d0f71bb4457672a4bc2b7ec47b4581f1bd/lib/node_modules/@stdlib/stats/base/variancetk/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@ad7ff5d0f71bb4457672a4bc2b7ec47b4581f1bd/lib/node_modules/@stdlib/stats/base/variancetk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/variancewd/README.md b/lib/node_modules/@stdlib/stats/base/variancewd/README.md
index 5ee63e47a0a1..636deff359a0 100644
--- a/lib/node_modules/@stdlib/stats/base/variancewd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/variancewd/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@00dc7e1a49e6c42611726e55478a569d55020169/lib/node_modules/@stdlib/stats/base/variancewd/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@00dc7e1a49e6c42611726e55478a569d55020169/lib/node_modules/@stdlib/stats/base/variancewd/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@00dc7e1a49e6c42611726e55478a569d55020169/lib/node_modules/@stdlib/stats/base/variancewd/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@00dc7e1a49e6c42611726e55478a569d55020169/lib/node_modules/@stdlib/stats/base/variancewd/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
diff --git a/lib/node_modules/@stdlib/stats/base/varianceyc/README.md b/lib/node_modules/@stdlib/stats/base/varianceyc/README.md
index 46a80625d67b..aa2f84f74d2f 100644
--- a/lib/node_modules/@stdlib/stats/base/varianceyc/README.md
+++ b/lib/node_modules/@stdlib/stats/base/varianceyc/README.md
@@ -28,10 +28,14 @@ The population [variance][variance] of a finite size population of size `N` is g
 
 <!-- <equation class="equation" label="eq:population_variance" align="center" raw="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" alt="Equation for the population variance."> -->
 
-<div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
+```math
+\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@61c39bd88c266a31915779a744bd790199657eff/lib/node_modules/@stdlib/stats/base/varianceyc/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -39,10 +43,14 @@ where the population mean is given by
 
 <!-- <equation class="equation" label="eq:population_mean" align="center" raw="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" alt="Equation for the population mean."> -->
 
-<div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
+```math
+\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@61c39bd88c266a31915779a744bd790199657eff/lib/node_modules/@stdlib/stats/base/varianceyc/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -50,10 +58,14 @@ Often in the analysis of data, the true population [variance][variance] is not k
 
 <!-- <equation class="equation" label="eq:unbiased_sample_variance" align="center" raw="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" alt="Equation for computing an unbiased sample variance."> -->
 
-<div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
+```math
+s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
+```
+
+<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@61c39bd88c266a31915779a744bd790199657eff/lib/node_modules/@stdlib/stats/base/varianceyc/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->
 
@@ -61,10 +73,14 @@ where the sample mean is given by
 
 <!-- <equation class="equation" label="eq:sample_mean" align="center" raw="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" alt="Equation for the sample mean."> -->
 
-<div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
+```math
+\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
     <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@61c39bd88c266a31915779a744bd790199657eff/lib/node_modules/@stdlib/stats/base/varianceyc/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
-</div>
+</div> -->
 
 <!-- </equation> -->