A/B Test Analysis Framework

Create a complete A/B testing analysis framework: sample size calculator with power analysis, test design with control and treatment groups, statistical tests (t-test, chi-square, Mann-Whitney), segmentation analysis, Bayesian vs frequentist approaches, multiple testing correction, practical significance vs statistical significance, and decision framework for test outcomes