P-value
Probability of seeing the results if there's no real difference.
In frequentist A/B testing, the p-value helps you determine statistical significance. It represents the probability of observing your test results (or more extreme results) if the null hypothesis were actually true (meaning, if there was no real difference between the variations). A small p-value (typically < 0.05) suggests you can reject the null hypothesis.
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