Concept information
Preferred term
conditional probability
Definition(s)
- In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption, assertion or evidence) has already occurred. This particular method relies on event B occurring with some sort of relationship with another event A. In this event, the event B can be analyzed by a conditional probability with respect to A. If the event of interest is A and the event B is known or assumed to have occurred, "the conditional probability of A given B", or "the probability of A under the condition B", is usually written as P(A|B) or occasionally P_B(A). This can also be understood as the fraction of probability B that intersects with A : P (A ∣ B) = P(A ∩ B)/P(B). (Wikipedia, The Free Encyclopedia, https://en.wikipedia.org/wiki/Conditional_probability)
Broader concept(s)
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/MDL-NQK30R3V-G
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