A
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A/B Test Calculator
Compare two conversion rates or two means with a named frequentist test, effect size, and confidence interval.
p-value
Enter values
Two-sided is the default.
B
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| Metric | Value |
|---|
z = (pB - pA) / sqrt(pPool(1 - pPool)(1/nA + 1/nB))
How?
How this is calculated
Conversion mode uses a two-proportion z-test for the p-value and a Newcombe Wilson interval for B minus A. Mean mode uses Welch's two-sample t-test, so equal variances are not assumed.
Formula: z = (pB - pA) / sqrt(pPool(1 - pPool)(1/nA + 1/nB))
Sources
- statsmodels proportions_ztest. statsmodels. Retrieved .
- statsmodels confint_proportions_2indep. statsmodels. Retrieved .
Method last reviewed