Statistical power and *p* values are both quantitative indexes.

The statistical power of a test is the probability of rejecting a false null hypothesis, while a *p* value is the probability of a given result assuming the null hypothesis of no effect is true.

Statistical power and *p* values are similar in the sense that both are related to the effect size being sought and the sample size. But they are fundamentally different metrics.

A *p* value reflects the chosen level of alpha, while statistical power is related to beta. In other words, the former quantifies the probability of making a Type I error, while the latter quantifies the probability of making a Type II error.

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