'' theorem uses the total probability rule to update the probability of an event that has been affected by a new piece of evidence

On the basis of new information, we update the prior probability to arrive at a conditional probability called a '' probability.

The original probability is an unconditional probability called a '' probability, in the sense that it reflects only what we know now before the arrival of any new information.

The method in which the previously calculated probabilities are revised with new probabilities is classified as(1 Point)Updating theoremDependency theoremCentral Limit TheoremBayes theorem

What is the fundamental concept behind Bayes' Theorem? a. It determines the likelihood of observing rare events in a dataset. b. It estimates the conditional probability of an event given prior knowledge. c. It updates the probability of a hypothesis based on new evidence. d. It calculates the joint probability of two events occurring together.

The sum of the probabilities of all the elementary events of an experiment is