This project analyzes A/B testing data to evaluate the effectiveness of three marketing campaigns. By conducting pairwise comparisons using statistical tests with a 99% confidence level, it identifies the best-performing campaign, providing actionable insights to optimize marketing strategies and boost overall sales performance.
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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