This lecture covers sampling theory, statistics, and inference, focusing on the sampling distribution of statistics under different distributions. It explains the concept of a statistic, sampling distribution, and ancillary statistic. The lecture also delves into sufficient statistics and their role in providing information about unknown parameters.