Probability measure: Difference between revisions

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::<math> \mu\Bigl(\bigcup_{i \in I} E_i\Bigr) = \sum_{i \in I} \mu(E_i).</math>
 
For example, given three elements 1, 2 and 3with3 with probabilities 1/4, 1/4 and 1/2, the value assigned to {1, 3} is 1/4 + 1/2 = 3/4, as in the diagram on the right.
 
The [[conditional probability]] based on intersection of events defined as:
78,528

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