Conditional Probability: Probability After Given Information
For two events A and B with P(B) > 0, the conditional probability of A given B is P(A|B) = P(A∩B)/P(B). It measures the chance of A after restricting the sample space to B.
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Student-friendly explanation
The event written after the vertical bar is the given event. In P(A|B), B has already occurred, so only outcomes in B remain relevant. The numerator P(A∩B) counts outcomes where both A and B occur, and the denominator P(B) rescales the probability within the given event.
How to write this in exams
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Start with the exact idea
For two events A and B with P(B) > 0, the conditional probability of A given B is P(A|B) = P(A∩B)/P(B). It measures the chance of A after restricting the sample space to B.
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Then show how to use it
Identify the required conditional probability. Mark the given event as the denominator. Find P(A∩B) from data, counting, or the union formula. Substitute into P(A|B) = P(A∩B)/P(B). Check that the denominator is not zero.
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Add one concrete example
If a card is drawn from a deck, let A be the event that the card is a king and B be the event that the card is a face card. Since there are 12 face cards and 4 kings, P(A|B) = P(A∩B)/P(B) = (4/52)/(12/52) = 1/3.
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Avoid this incomplete answer
Writing P(A|B) = P(B)/P(A∩B) or placing P(A) in the denominator just because A is mentioned first.
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Quick check
If P(A∩B) = 0.18 and P(B) = 0.45, find P(A|B).
P(A|B) = P(A∩B)/P(B) = 0.18/0.45 = 0.4.
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