A/B Test Significance Calculator

Variation A (Control)

Variation B (Challenger)

How it Works

1

Input Your Data

Enter the number of visitors and conversions for both your control (A) and challenger (B) variations. Get these numbers from your analytics or A/B testing platform.

2

Statistical Calculation

The tool computes conversion rates, pooled standard error, and a two-tailed Z-score. It then calculates the p-value using the standard normal cumulative distribution function at a 95% confidence level.

3

Interpret Your Results

See whether your result is statistically significant, view the confidence level, uplift percentage, and precise p-value. Make data-driven decisions with confidence.


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