Results Analysis
Chi-Squared Test Calculator
Determine whether your A/B test results are statistically significant using the chi-squared test for proportions.
Enter Your Test Data
Variation A (Control)
Variation B (Treatment)
How It Works
The chi-squared test compares observed conversion rates against what would be expected if there were no difference between variations. It produces a test statistic and p-value indicating the probability that the observed difference occurred by chance.
A p-value less than 0.05 (5% significance level) means there's less than a 5% chance the difference is due to random variation, making the result statistically significant.
Interpretation Guide
- •p < 0.05: Result is statistically significant at 95% confidence
- •p < 0.01: Result is highly significant at 99% confidence
- •p > 0.05: Cannot conclude there's a real difference