The power or sensitivity  of a binary hypothesis test is the probability that the test correctly rejects the null hypothesis (H₀) when the alternative hypothesis (H₁) is true. It can be equivalently thought of as the probability of accepting the alternative hypothesis (H₁) when it is true—that is, the ability of a test to detect an effect, if the effect actually exists. That is,