Probability Theory: Independence and Conditional Independence

This lecture covers the concepts of independence and conditional independence in probability theory. It explains how events A and B are considered independent when the occurrence of one does not affect the other. The lecture also delves into the mathematical definitions and examples of independence, including mutual independence and pairwise independence. Additionally, it explores the concept of conditional independence given another event. Various scenarios and calculations are presented to illustrate these concepts.