ab-test-stats
CommunityValidate A/B test results
Authorguia-matthieu
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you determine if your A/B test results are statistically significant, preventing you from making decisions based on random fluctuations.
Core Features & Use Cases
- Significance Testing: Calculates the p-value and confidence level to determine if observed differences are real.
- Sample Size Calculation: Helps you determine how many users you need for a test to detect a specific effect size.
- Duration Estimation: Estimates how long your test needs to run to achieve statistical significance.
- Use Case: After running an A/B test on a website button color, use this Skill to confirm if the observed increase in clicks is statistically significant or just due to chance.
Quick Start
Calculate the statistical significance for an A/B test with control group 1000 visitors and 50 conversions, and variant group 1000 visitors and 65 conversions.
Dependency Matrix
Required Modules
scipynumpyclick
Components
scripts
💻 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-stats Download link: https://github.com/guia-matthieu/clawfu-skills/archive/main.zip#ab-test-stats Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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