This lecture covers the Chi-Square test for independence hypothesis, focusing on comparing observed and theoretical frequencies to test if two characteristics are independent. It explains the test statistic, critical values, and significance levels, emphasizing the importance of estimating marginal laws. The lecture also discusses the relationship between statistical tests and confidence intervals, providing examples and practical applications.