The power of a test is the probability of correctly rejecting a false null hypothesis, which is a key concept in hypothesis testing. It is distinct from the p-value (the smallest significance level for rejecting the null) and the level of significance (the probability of a Type I error). Understanding these components is essential for interpreting hypothesis test results.