Sum Rule

The Sum Rule, a fundamental concept in probability theory, governs the calculation of probabilities for mutually exclusive events. In essence, it states that the probability of the union of two or more exclusive events is the sum of their individual probabilities. This rule provides a concise and powerful tool for analyzing and predicting outcomes in various fields, from statistics and finance to machine learning. By understanding the Sum Rule, one gains a foundational grasp of probability principles essential for making informed decisions and modeling uncertainties in diverse scenarios.