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2. The sum of the probabilities across all events in the entire sample space must be 1.0 (i.e., one of the events in the space must happen, otherwise the space does not exhaust all possibilities).

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1. A probability value must be nonnegative (i.e., zero or positive). 2. The sum of the probabilities across all events in the entire sample space must be 1.0 (i.e., one of the events in the space must happen, otherwise the space does not exhaust all possibilities). 3. For any two mutually exclusive events, the probability that one or the other occurs is the sum of their individual probabilities. For example, the probability that a fair six-sided d

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owner: shihabdider - (no access) - Doing Bayesian Data Analysis, p80

1. A probability value must be nonnegative (i.e., zero or positive). 2. The sum of the probabilities across all events in the entire sample space must be 1.0 (i.e., one of the events in the space must happen, otherwise the space does not exhaust all possibilities). 3. For any two mutually exclusive events, the probability that one or the other occurs is the sum of their individual probabilities. For example, the probability that a fair six-sided d

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