The probability of a hypothesis test correctly detecting a real effect.

Note 1: Power is also the probability of avoiding a Type II error and therefore corresponds to (1 - β).

Note 2: A power analysis may be performed to determine whether a sample size will have sufficient power to reject a false null hypothesis, and so find the effect described by the alternative hypothesis.

Note 3: Related terms include hypothesis testing, beta (β), and statistical power.