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This repository presents a case study on understanding causes of death using inferential statistics and data visualizations. The testing is done through Welch's t test and hypothesis testing, and the findings are visualised through countplots, line charts.
This project investigates whether there is a statistically significant difference in the average climbing route grades between males and females. Using R, the analysis employs both traditional (t-test) and non-traditional (bootstrap and permutation methods) inferential statistics to test the hypothesis.