The lecture covers hypothesis testing and confidence intervals for proportions and means. It emphasizes the importance of understanding the sampling distribution, p-values, and the relationship between null and alternative hypotheses. Practical examples illustrate how to determine sample sizes and interpret results, highlighting the need for careful data collection and analysis to avoid bias.