How to perform an A/B test

This post details the process of performing an A/B test, focusing on user retention as a key metric. It introduces the concepts of null and alternative hypotheses and demonstrates how to use chi-square tests to detect and address Sample Ratio Mismatch (SRM) in datasets. The post also covers data visualization techniques, specifically kernel density estimation, to compare retention rates between control and treatment groups.