A/B Test Result
Not significant
p = 0.153
Variant A (control)
Variant B
Confidence level
Hypothesis
Conversion rates
95% CI: 8.14% – 11.86%
95% CI: 9.99% – 14.01%
Relative uplift
+20.00%
z-score
1.4293
Absolute difference
+2.00pp
95% CI of difference
-0.74 to 4.74pp
How it works
This calculator runs a pooled two-proportion z-test on your variant data. It pools the conversions from both variants to estimate a shared rate under the null hypothesis, computes the z-score for the observed difference, and converts it to a p-value using the standard normal CDF (via the Abramowitz–Stegun erf approximation, accurate to about 1.5×10⁻⁷). The confidence interval for the difference uses the unpooled standard error. For one-tailed tests, the p-value is reported in the direction of the observed effect. All math runs in your browser — no data leaves your device.