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The formula is based on the expression P(B) = P(B|A)P(A) + P(B|Ac)P(Ac), which simply states that the probability of event B is the sum of the conditional ...
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P(A/B) is known as conditional probability and it means the probability of event A that depends on another event B and is read as "probability of A given B". ...
This means the likelihood of one event is influenced by whether another event occurred. It asks, "If we know A has happened, what's the chance of B also ...
In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption, ...
May 28, 2015 · P(A given B) means you are told the person is standing somewhere in B and answers the question 'what is the chance they are also standing in A'?
Mar 21, 2019 · Literally it means “the probability of A given B”. It's called a conditional probability because we have placed some conditions (B) on ...
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Events can be "Independent", meaning each event is not affected by any other events. ... P(A) means "Probability Of Event A". In our ... P(A and B) = P(A) x P(B|A) ...
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Jan 26, 2017 · Any probability result that is true for unconditional probability remains true if everything is conditioned on some event.
Feb 10, 2022 · If P(A∩B) = P(A)P(B) does it always mean A and B are independent events or can it be coincidental that they are equal.