Mathematics, 30.11.2021 23:20 brekline12
Which statement best explains conditional probability and independence?
When two separate events, A and B, are independent, the probability of either event occurring is the same. Therefore, P(A)=P(B) and P(A|B)=P(A).
When two separate events, A and B, are independent, P(A|B)=P(A). This means that the probability that event B occurred first has no effect on the probability of event A occurring next.
When two separate events, A and B, are independent, the probability of either event occurring is the same. Therefore, P(A)=P(B) and P(A|B)=P(B).
When two separate events, A and B, are independent, P(A|B)=P(B). This means that the probability that event A occurred first has no effect on the probability of event B occurring next.
Answers: 1
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Which statement best explains conditional probability and independence?
When two separate events,...
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