2.1_Precision.ipynb

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        "---\n",
        "title: \"2.1 Measurement Precision\"\n",
        "subtitle: \"Workshop: \\\"Handling Uncertainty in your Data\\\"\"\n",
        "author: \"Dr. Mario Reutter & Juli Nagel\"\n",
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        "# What is (Measurement) Precision?\n",
        "\n",
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        "```\n",
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        "\n",
        "## Interest Group: Open and Reproducible Research (IGOR)\n",
        "\n",
        "![](images/precision_IGOR.png)\n",
        "\n",
        "Part of the German Reproducibility Network:\\\n",
        "<https://www.youtube.com/watch?v=sQFmB_EY1PQ>\n",
        "\n",
        "## Group-level Precision\n",
        "\n",
        "![<https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/forest.html#forest-R>](images/precision_group_forest.png)\n",
        "\n",
        "&rarr; Effects in relation to their *group-level* precision\n",
        "\n",
        "\n",
        "## Group-level Precision 2\n",
        "\n",
        "![<https://www.medicowesome.com/2020/04/funnel-plot.html>](images/precision_group_funnel.jpg)\n",
        "\n",
        "&rarr; Effects in relation to their *group-level* precision\n",
        "\n",
        "## What is Precision?\n",
        "\n",
        "1. Precision is indicated by errorbars / standard error / confidence intervals\n",
        "\n",
        "## What is Precision?\n",
        "\n",
        "1. Precision is indicated by errorbars / standard error / confidence intervals\n",
        "\n",
        "2. Precision exists on different levels\n",
        "\n",
        "3. Whenever you `summarize` across a variable, you can calculate the \\\n",
        "**precision of the aggregation**"
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