CA Foundation · Quantitative Aptitude · Probability
In Bayes' theorem, the probability P(A | B) obtained after the occurrence of event B has been observed is called the:
The probability obtained after observing the evidence is called the posterior probability. Bayes' theorem starts with prior probabilities of the causes and revises them once the outcome is known, giving the posterior or revised probability of each cause.
- APrior probability
- BPosterior probabilityCorrect
- CJoint probability
- DMarginal probability
Explanation
Bayes' theorem revises the initial (prior) probability of a cause in the light of new evidence. The revised probability, calculated after the evidence is known, is called the posterior probability. The prior is the probability before the evidence, so it is not the answer.
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