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| Conditional probability is the probability that some event ''A'' will happen, knowing that event ''B'' has happened. It is written ''P'', read "the probability of ''A'', given ''B''". Here is how to compute it: | Conditional probability is the probability that some event ''A'' will happen, knowing that event ''B'' has happened. It is written ''P'', read "the probability of ''A'', given ''B''". Here is how to compute it: | ||
| *''P'' = ''P'' / ''P'' | *''P'' = ''P'' / ''P'' | ||
| *If ''A'' and ''B'' are independent events (that is, the occurrence of either one does not affect the occurrence of the other in any way), then ''P'' = ''P''·''P''. | *If ''A'' and ''B'' are independent events (that is, the occurrence of either one does not affect the occurrence of the other in any way), then ''P'' = ''P''·''P''. | ||
Revision as of 10:59, 29 June 2001
Conditional probability is the probability that some event A will happen, knowing that event B has happened. It is written P, read "the probability of A, given B". Here is how to compute it:
- P = P / P
- If A and B are independent events (that is, the occurrence of either one does not affect the occurrence of the other in any way), then P = P·P.