This document explains probability in statistics, covering basic rules, mutually exclusive events, conditional probability, and independent events. It introduces tree diagrams, probability formulas, and worked examples such as biased dice, conditional outcomes, and testing for independence. Key concepts include addition and multiplication laws, complements, and solving real-world probability problems step by step.