Which statement best explains conditional probability and independence? O 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(B). This means that the probability that event A occurred first has no effect on the probability of event B 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(A). This means that the probability that event B occurred first has no effect on the probability of event A occurring next.
Which statement best explains conditional probability and independence? O 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(B). This means that the probability that event A occurred first has no effect on the probability of event B 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(A). This means that the probability that event B occurred first has no effect on the probability of event A occurring next.
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.8: Probabilities Of Disjoint And Overlapping Events
Problem 2C
Question
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