Answer
See below.
Work Step by Step
Power refers to the probability of rejecting the null hypothesis in case of the alternative hypothesis being true.
Thus a test with a low power has a low probability of rejecting the null hypothesis even when it should be rejected. Thus in case of a test with low power where the null hypothesis isn't rejected, it is still quite likely that the null hypothesis isn't true.
