The normalization axiom is a fundamental principle in probability theory that states the total probability of all possible outcomes in a probability space must equal one. This axiom ensures that when considering all potential events, the sum of their probabilities reflects the certainty that one of them will occur. It connects to key features such as the requirement for probabilities to be non-negative and the relationship between probabilities and outcomes.
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