(Optional) The power of a test is important in practice because power
(a) describes how well the test performs when the null hypothesis is actually true.
(b) describes how sensitive the test is to violations of conditions such as Normal population distribution.
(c) describes how well the test performs when the null hypothesis is actually not true.