A directional hypothesis (one-tailed) will yield a smaller p value for the same magnitude of effect compared to a non-directional hypothesis (two-tailed). For a one-tailed test, you focus on only one tail, depending on the direction of your alternative hypothesis.
Understanding P-Value in A/B Marketing Tests
For a two-tailed test, this involves finding the area in both tails of the distribution. To determine p value from test statistic , you must assess how extreme that result would be, assuming the null hypothesis is true.
Connecting the Test Statistic to Probability The test statistic is a standardized value that summarizes the discrepancy between your observed data and what the null hypothesis predicts. In practice, statistical software handles the complex integration required to determine p value from test statistic instantly.
Understanding P-Value in A/B Marketing Tests
This area represents the probability of observing a result as extreme as, or more extreme than, the one you obtained. When you determine p value from test statistic , a result of 0.
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