Statistical power is the probability that a test will correctly reject a false null hypothesis. In simpler terms, it measures a testâs ability to detect an effect, if there is one. High statistical power means there is a greater chance of detecting a true difference when it exists, thus reducing the risk of Type II errors (false negatives).