conditional probability
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Dependent, independent event, and conditional probabilityMath/Probability 2019. 10. 14. 15:14
1. Overview 2. Description 2.1 Independent event The theoretical probability remains unaffected by other events 2.2 dependent event(=Conditional probability) $$P(A\: |\: B)$$ The probability of getting A, if we are given that B has occurred A given B 3. Example 4. References https://365datascience.co
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Conditional ProbabilityMath/Probability 2019. 9. 30. 21:25
1. Overview In probability theory, conditional probability is a measure of the probability of an event occurring given that another event has (by assumption, presumption, assertion or evidence) occurred. The concept of conditional probability is one of the most fundamental and one of the most important in probability theory. But conditional probabilities can be quite slippery and require careful..