A/B Test Statistical Significance Calculator
Confidently determine if your A/B test results are statistically significant or just due to chance.
Variation A (Control)
Variation B (Challenger)
What is Statistical Significance?
In A/B testing, statistical significance is the likelihood that the difference in conversion rates between your control (Variation A) and your challenger (Variation B) is not due to random chance. It’s a mathematical way to prove that your results are reliable.
Key Terms to Understand
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✓Confidence Level: This is how sure you can be that your results are not random. The industry standard is a 95% confidence level. If your test reaches this level, there’s only a 5% chance that the results are a fluke.
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✓P-Value: The p-value is the probability of observing your results (or more extreme results) if there was actually no difference between the variations. A low p-value (typically < 0.05) means your results are significant.