The sum rule is a fundamental principle in probability theory that states if two events cannot happen at the same time, the probability of either event occurring is the sum of their individual probabilities. This rule is essential for calculating probabilities in situations involving multiple discrete random variables and helps understand the behavior of these variables when they are independent of each other.
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