Power is the probability that a test of significance will detect a deviation from the null hypothesis, should such a deviation exist. Power is the probability of avoiding a Type II error. Simply put, power is the probability of not making a Type II error, according to Neil Weiss in Introductory Statistics. Mathematically, power is 1 – beta.
