Control Group
Variant Group
Statistical Significance
Enter your test results and click Calculate to see statistical significance
What your result looks like
Each pile shows the results this test could have produced by chance. The less the piles overlap, the more confident you can be. Move left to see what the same rates would have told you with less data.
Understanding Statistical Significance
What is Statistical Significance?
Statistical significance tells you whether the difference between your control and variant is likely due to the changes you made, or just random chance. A 95% confidence level means there's only a 5% chance the results are due to chance.
P-Value Explained
The p-value represents the probability that your results occurred by chance. A p-value less than 0.05 (5%) is typically considered statistically significant, meaning you can be 95% confident your results are real.
Common Questions
What confidence level should I use?
95% confidence (p-value < 0.05) is the industry standard for A/B testing. This means there's only a 5% chance your results are due to random variation.
What if my test isn't significant?
If your test doesn't reach statistical significance, you need more data. Use our Sample Size Calculator to determine how many visitors you need for reliable results.
Can I stop a test early if it's significant?
Stopping tests early can lead to false positives. Always run tests for the full duration calculated by our Test Duration Calculator to ensure reliable results.
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