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>
 
The [[conditional probability]] definition based on intersection of events defined as:
 
:<math>P(B \mid A) = \frac{P(A \cap B)}{P(A)}.</math>
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