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Statistical Analysis Tool

A/B Test Significance Calculator

Built on the same statistical framework used to manage 25+ concurrent experiments at GrowthPulse Digital. Server-side two-proportion z-test via Python's built-in math.erfc — not a JavaScript approximation.

Experiment Data

Control — Variant A
Variant — Variant B
Statistical Method

Two-tailed chi-squared test (Pearson's χ²) via scipy.stats.chi2_contingency. Significance threshold: p < 0.05 (95% confidence).

VARIANT A
Conversion Rate
VARIANT B
Conversion Rate
Conversion Lift
Confidence Level
p-value
Conversion Rate Comparison
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Enter experiment data and click Run Statistical Test
Results computed with real Python statistics