A/B Testing Calculator
This calculator helps you determine if your A/B test results are statistically significant. Enter the number of visitors and conversions for each variant to calculate the confidence level, p-value, and other key metrics to make data-driven decisions.
Variant A (Control)
%
Variant B (Test)
%
Test Settings
A/B Test Results
Processing...--
Confidence Level
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P-Value
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Relative Improvement
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Absolute Improvement
Control (A)
--
Test (B)
--
+0.0%
Interpretation
Please calculate test results to see interpretation.
Note: Statistical significance doesn't guarantee practical or business significance. Always consider the context and business metrics when making decisions.
This calculator uses the two-proportion z-test to determine statistical significance.
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