This lecture covers hypothesis testing, focusing on test statistics, critical regions, one-sided and two-sided tests, p-values, Wald test, power functions, and multiple testing methods like Bonferroni and False Discovery Rate control. It also delves into non-parametric statistics, empirical distribution functions, Glivenko-Cantelli theorem, and confidence intervals for distribution functions.