A/B Test Calculator

A/B Test Significance Calculator

Calculate statistical significance, analyze test results, and make data-driven decisions with confidence intervals and power analysis.

Test Data

Enter your A/B test results

How to Use

  • Enter visitor and conversion counts for both control and variant groups
  • Select confidence level (95% recommended for most tests)
  • Choose test type based on your hypothesis direction
  • Review statistical significance and confidence intervals

Key Metrics

P-ValueSignificance threshold
Statistical PowerTarget: 80%
Confidence LevelStandard: 95%

Statistical Insights

P-value < 0.05 indicates statistical significance
Statistical power ≥ 80% ensures reliable results
Confidence intervals show range of true difference
Sample size affects test sensitivity and reliability