Collection of some exercises and code snippets for the course of Applied Statistics [Politecnico di Milano, 2020/2021] by Professor Piercesare Secchi.
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Updated
May 13, 2022 - R
Collection of some exercises and code snippets for the course of Applied Statistics [Politecnico di Milano, 2020/2021] by Professor Piercesare Secchi.
This R script provides a fully automated framework for conducting independent-samples hypothesis tests to compare two groups on a continuous numeric outcome. It is designed for flexible reuse across datasets and projects in data science, human performance, and research.
Automated one-sample t-test and Wilcoxon testing tool with assumption checks, transformation logic, APA reporting, and ggplot diagnostics. Built in R for data science, athlete monitoring, and research use.
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