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Split Test Analyzer

Calculate statistical significance for your A/B tests and determine when you have conclusive results.

Variant A (Control)

Variant B (Test)

Understanding Statistical Significance

When running A/B tests, you need enough data to be confident that the difference between variants is real, not due to random chance.

Key terms:

  • Confidence Level: How certain you want to be (95% is standard for most tests)
  • Z-Score: Measures how many standard deviations the difference is from zero
  • P-Value: Probability the results are due to chance (lower is better)