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A/B Test Calculator

Statistical significance, Bayesian probability, and sample size estimation. Know when your test is done.

Control (A)
4.50%
Variant (B)
6.20%

Verdict

πŸ“Š
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Frequentist Analysis

β€”
p-value
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z-score
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relative uplift
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statistical power
Control
4.50%
Variant
6.20%

Bayesian Probability

Chance that each variant is the winner (Monte Carlo, 100k simulations)

30%
70%
Control (A) wins Variant (B) wins
β€”
expected lift
β€”
risk of choosing B

Sample Size Needed

To detect the observed difference at your chosen confidence level with 80% power:

β€”
visitors per variant