This lecture covers statistical models, parameter estimation, and sampling distributions. It explains the concept of statistical models, the role of estimators in estimating parameters, and the methods like method of moments and maximum likelihood method. The lecture also delves into sampling distributions, empirical and theoretical moments, and the least squares method for parameter estimation.