Restrict the sample space to the given event before calculating a probability.
“Given” changes the group under consideration
P(A∣B) is the probability of A given that B occurs. Consider only outcomes in B, then ask what proportion also belong to A. The condition need not be an earlier event in time; it is information that restricts the sample space.
P(A∣B)=P(B)P(A∩B)
provided P(B)>0.
The denominator is the probability of the event after the vertical bar. In general, P(A∣B) and P(B∣A) are different.
For independent events, learning that B occurred leaves A's probability unchanged: P(A∣B)=P(A). This gives another test of independence whenever the conditional probability is defined.
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07•Conditional Probability
Probability Models
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State the events before choosing a method
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