We are given that P(A | B) = 0.6 and P(A) = 0.9. Since P(A | B) ≠ P(A), the occurrence of event B changes the probability that event A will occur. This implies that A and B are events.
Question
We are given that P(A | B) = 0.6 and P(A) = 0.9. Since P(A | B) ≠ P(A), the occurrence of event B changes the probability that event A will occur. This implies that A and B are events.
Solution
Dependent
Similar Questions
Given P(A) = 0.9 and P(B) = 0.3, do the following.(a) If A and B are independent events, compute P(A and B).(b) If P(A | B) = 0.6, compute P(A and B).
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Since P(A | B) ≠ P(A), the occurrence of event B the probability that event A will occur. This implies that A and B are not independent events.
If P(A) = 0.6 and P(B|A) = 0.4, what is P(A and B)?Group of answer choices0.400.60.24
Given P(A) = 0.3, P(B) = 0.5, P(A | B) = 0.3, do the following.(a) Compute P(A and B).(b) Compute P(A or B).Step 1(a) Compute P(A and B).To compute P(A and B) means that we wish to find the probability that both A happened and B happened. We are given that P(A) = 0.3, P(B) = 0.5, and P(A | B) = 0.3.Since P(A | B) ≠ P(A), the occurrence of event B the probability that event A will occur. This implies that A and B are not independent events.So, to determine P(A and B), we can apply the general multiplication rule for events.P(A and B) = P(B) · P(A | B) = (0.5) · =
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