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Topic: Conditional Probability

Welcome to your Topic: Conditional Probability

If P(A') = 0.3, find P(A).

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If P(A | B) = 1, then:

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If two events are mutually exclusive, P(A | B) equals:

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P(A | B) represents:

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If A and B are independent, then P(A ∩ B) = ?

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If P(A ∩ B) = 0.12 and P(A) = 0.4, then P(B | A) = ?

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The formula for P(A | B) is:

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If P(A | B) = 0.4 and P(B) = 0.5, then P(A ∩ B) = ?

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Conditional probability always lies between:

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If P(A ∩ B) = 0, A and B are:

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P(A | B) is undefined if:

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If A and B are independent, then P(A | B) = ?

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If P(B) = 0.4 and P(A | B) = 0.25, then P(A ∩ B) = ?

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If P(A) = 0.8 and P(B | A) = 0.5, find P(A ∩ B).

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If P(A ∩ B) = P(A)P(B), then events are:

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Bayes’ theorem is used to find:

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If P(A ∩ B) = 0.15 and P(B) = 0.3, find P(A | B).

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If P(A) = 0.6, P(B) = 0.5, and P(A ∩ B) = 0.3, find P(A | B).

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If P(B) = 0.25 and P(A ∩ B) = 0.05, then P(A | B) = ?

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If P(A ∪ B) = 0.7, P(A) = 0.5, P(B) = 0.4, find P(A ∩ B).

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