Bayes' theorem provides a way to transform prior probabilities into posterior probabilities.
Correct Answer:
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Q1: If A and B are mutually exclusive
Q3: Two events that are independent cannot be
Q5: A posterior probability is a conditional probability.
Q7: P(A|B)= P(B|A)for all events A and B.
Q12: P(A|B)= P(AC|B)for all events A and B.
Q16: When assigning subjective probabilities,use experience,intuition,and any available
Q18: P(A|B)+ P(A|BC)= 1 for all events A
Q27: P(A|B)= 1 P(B|A)for all events
Q34: P(A
Q35: If A and B are independent
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