The term 'posterior odds' in Bayes' theorem represents:
A)Initial probability
B)The amount by which prior expectations should be revised
C)Base rate
D)Revised probability

Question

Quizplus · Accepted Answer

The posterior odds in Bayes' theorem represent the revised probability after taking into account new information or evidence. It is the updated ratio of the likelihood of an event occurring given the new evidence, compared to the likelihood of the event occurring prior to receiving the evidence. Therefore, choice D (Revised probability) is the most appropriate answer.

The Term 'Posterior Odds' in Bayes' Theorem Represents