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ab-test-calculator
Rigorous A/B test sample sizing and statistical significance analysis.
A statistical tool for experiment design and analysis. Calculate required sample sizes and evaluate Control vs. Variant conversion rates using a two-proportion z-test. Includes Bonferroni multi-arm corrections to prevent false positives and Newcombe confidence intervals for uncertainty estimation. Designed to enforce statistical discipline and prevent common testing pitfalls like peeking or false-positive bias.
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What does ab-test-calculator help with?
Key Capabilities
- Sample Size & Duration Planning: Pre-size experiments based on baseline conversion rate, Minimum Detectable Effect (MDE), statistical power ($80%+$), and significance levels ($\alpha = 0.05$).
- Statistical Significance Evaluation: Analyze Control vs. Variant conversion rates with two-proportion z-tests and Newcombe confidence intervals.
- Multi-Arm Bonferroni Correction: Automatically adjusts significance thresholds when testing multiple variants to control family-wise error rates.
- Peeking & Bias Protection: Built with a disciplined methodology posture to eliminate premature stopping biases and false-positive errors.
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