A/B Test Calculator

Statistical significance testing for A/B experiments with power analysis and sample size estimation.

Features

• Significance Testing: Chi-square, Z-test, T-test for conversions
• Sample Size Estimation: Calculate required samples for desired power
• Power Analysis: Determine test power given sample size
• Confidence Intervals: Calculate CIs for conversion rates
• Multiple Variants: Support A/B/n testing
• Bayesian Analysis: Probability to beat baseline

Quick Start

from ab_test_calc import ABTestCalculator

calc = ABTestCalculator()