ab-test
CommunityMaster A/B testing for data-driven decisions.
Data & Analytics#data science#hypothesis testing#experimentation#statistical analysis#ab testing#online controlled experiments
Authorolavocarvalho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a robust framework for designing, analyzing, and making confident decisions from A/B tests and online controlled experiments, ensuring your product changes are backed by statistical rigor.
Core Features & Use Cases
- Experiment Design: Calculate necessary sample sizes and estimate test durations.
- Statistical Analysis: Perform significance testing (Frequentist and Bayesian) to compare variants.
- Validity Checks: Identify and mitigate common pitfalls like Sample Ratio Mismatch (SRM) and peeking.
- Use Case: You've launched a new feature and want to know if it's improving conversion rates. Use this Skill to determine how much traffic you need, run the test, and get a clear statistical answer on whether the new feature is a winner.
Quick Start
Use the ab-test skill to calculate the sample size needed for an experiment with a baseline conversion rate of 5%, a minimum detectable effect of 10%, and 80% power.
Dependency Matrix
Required Modules
scipynumpy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ab-test Download link: https://github.com/olavocarvalho/data-agents/archive/main.zip#ab-test Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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