The power of a statistical test is the probability that it correctly rejects the null hypothesis when the null hypothesis is false (i.e. the probability of not committing a Type II error).
It can be equivalently thought of as the probability of correctly accepting the alternative hypothesis when the alternative hypothesis is true – that is, the ability of a test to detect an effect, if the effect actually exists.
… Statistical Power