In applying Bayes' Theorem,as the prior probabilities increase,the posterior probabilities decrease.

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In applying Bayes' Theorem, as the prior probabilities increase, the posterior probabilities also increase. This is because the prior probabilities represent our beliefs before observing any data or evidence, and as we observe data or evidence, our beliefs are updated or revised, resulting in higher posterior probabilities that reflect our updated beliefs.

In Applying Bayes' Theorem,as the Prior Probabilities Increase,the Posterior Probabilities