This lecture covers the concept of hypothesis testing, focusing on the T-test and Chi-square test. It explains how to calculate p-values, choose the appropriate test statistic, set significance levels, and interpret the results. The T-test is used to compare means, while the Chi-square test assesses the independence of categorical variables. Practical examples are provided to illustrate the application of these tests in real-world scenarios.