CA Foundation · Quantitative Aptitude · Probability
In Bayes' theorem, the probability P(A | B) of a cause A given that an effect B has occurred is called which of the following?
P(A | B) is the posterior probability. It is the revised probability of a cause after the outcome has been observed, obtained through Bayes' theorem. The prior probability is the one assigned to the cause before any outcome was known.
- APrior probability
- BPosterior probabilityCorrect
- CJoint probability
- DMarginal probability
Explanation
Bayes' theorem revises the prior probability of a cause after an outcome is observed. The revised value P(A | B) is called the posterior (or revised) probability. The prior is the probability before the outcome is known.
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