Statistics fundamentals and python
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.
Collection of some exercises and code snippets for the course of Applied Statistics [Politecnico di Milano, 2020/2021] by Professor Piercesare Secchi.
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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