Frequentist statistical power calculator

Find the statistical power of a fixed-horizon A/B test from the visitors in each variant, using a two-sided two-proportion z-test at your confidence level.

Method
Minimum detectable effect unit

Statistical power

80.7%
Total across both variants
30,000
Variant conversion rate
11%

How power is calculated

The calculator runs a two-sided two-proportion z-test. For a baseline rate p₁ and a variant rate p₂ that is p₁ plus the effect you enter, p₁ × (1 + lift) when the effect is relative, a test with n visitors in each variant has the power below, where p̄ is the average of the two rates, zα is the normal quantile for the confidence level, and Φ is the normal CDF.

power = Φ((|p₂ − p₁|·√n − zα·√(2p̄(1 − p̄))) ÷ √(p₁(1 − p₁) + p₂(1 − p₂)))

A test at 80% power still misses a real lift one time in five, so a result that falls short of significance at low power says little about whether the variant helps. The calculator also adds the small chance of a significant result in the opposite direction, which only shows at very small samples.