ab-testing-statistics

Features and purpose

Statistical methods for analyzing A/B test (controlled experiment) results. Covers hypothesis testing for different metric types, multiple comparison corrections, and effect size calculations. Use when analyzing experiment data with control and treatment groups.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.