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Question
In deterministic logic, the statement “ implies ” is equivalent to its contrapositive, “not implies not ”. In this problem we will consider analogous statements in probability, the logic of uncertainty. Let and be events with probabilities not equal to 0 or 1. (a) Show that if , then . Hint: Apply Bayes’ rule and LOTP. (b) Show however that the result in (a) does not hold in general if is replaced by . In particular, find an example where is very close to 1 but is very close to 0. Hint: What happens if A and B are independent?
Solution
VerifiedStep 1
1 of 3(a)
Let .
Thus or . If , so we are done in this case. If then does not have a sense.
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