Statistical power is the probability that a study will correctly reject the null hypothesis when a true effect exists. It is generally denoted as (1 - β), where β is the probability of committing a Type II error (failing to detect an effect that is present). A higher statistical power reduces the risk of Type II errors, thus increasing the likelihood of detecting a true association or effect.
