Analytics & Event Tracking

Statistical Significance Checker

Check if your A/B test results are statistically significant with p-values, confidence intervals, and clear recommendations.

A/B Test Data

Variant A (Control)

Visitors

Conversions

Conversion Rate

10.00%

Variant B

Visitors

Conversions

Conversion Rate

12.00%

Confidence Level

We Have a Winner!

Variant B wins! It has a 20.0% improvement with 95% confidence.

Statistical Analysis

P-Value

0.0000

Significant

Z-Score

4.520

Beyond ±1.96

Confidence Level

95%

α = 0.05

Lift Analysis

Absolute Lift

+2.00 pp

Relative Lift

+20.0%

Confidence Intervals

Variant A (95% CI)

9.41% - 10.59%

Variant B (95% CI)

11.36% - 12.64%

Statistical Significance Guide

Understanding P-Values

• p < 0.01: Very strong evidence against null hypothesis
• p < 0.05: Strong evidence (95% confidence)
• p < 0.10: Moderate evidence (90% confidence)
• p ≥ 0.10: Weak evidence, continue testing
• Lower p-values indicate stronger significance

Best Practices

• Run tests until statistical significance
• Use at least 95% confidence level
• Ensure minimum 100+ conversions per variant
• Don't stop tests early (p-hacking)
• Account for multiple comparisons

Learn More in The Course

This tool is derived from Module 1 of "The Ultimate Growth Engineering Course." Learn the complete experimentation framework, how to design better tests, and interpret results like a pro.

Explore the Course