The Neyman-Pearson Lemma provides a method for creating the most powerful test for a given size of significance level when testing between two simple hypotheses. It establishes that the likelihood ratio test is optimal for distinguishing between two hypotheses, maximizing the probability of correctly rejecting the null hypothesis when the alternative is true.