Lecture
This lecture covers the testing and estimation of continuous distributions, focusing on methods for partitioning intervals and calculating expected numbers. It includes examples of testing uniform and normal distributions, as well as parameter estimation using the chi-square test. The instructor explains how to modify test statistics for composite hypotheses and provides practical examples of hypothesis testing and parameter estimation.