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A computer consulting firm presently has bids out on three projects. Let Ai = {awarded project i}, for i = 1, 2, 3, and suppose that P(A1) = 0.23, P(A2) = 0.26, P(A3) = 0.28, P(A1 ∩ A2) = 0.09, P(A1 ∩ A3) = 0.05, P(A2 ∩ A3) = 0.11, P(A1 ∩ A2 ∩ A3) = 0.01. Use the probabilities given above to compute the following probabilities, and explain in words the meaning of each one. (Round your answers to four decimal places.)

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Answer:


P(A_1 \cup A_2) = 0.4


P(A_1 \cup A_3) = 0.46


P(A_1 \cup A_3) = 0.43


P(A_1 \cup A_2 \cup A_3) = 0.53

Explanation:

For the probability of events not mutually exclusive we have to add the probability of each event and substract the probability of the intersection of the events:


P(A \cup B) = P(A) + P(B) - P(A \cap B)

For the given information we can deduce the following probabilities:

<probability of the union of A_1 and A_2>


P(A_1 \cup A_2) = 0.23 + 0.26 - 0.09


P(A_1 \cup A_2) = 0.4

<probability of the union of A_1 and A_3>


P(A_1 \cup A_3) = 0.23 + 0.28 - 0.05


P(A_1 \cup A_3) = 0.46

<probability of the union of A_2 and A_3>


P(A_1 \cup A_3) = 0.26 + 0.28 - 0.11


P(A_1 \cup A_3) = 0.43

We can also use the given information to get the probability of the union of
A_(1), A_(2), &nbsp;A_(3) . For that purpose we use the next formula:


P(A \cup B \cup C) = P(A) + P(B) + P(C) - P(A \cap B) - P(A \cap C) - P(B \cap C) - P(A \cap B \cap C)

So we the given information:


P(A_1 \cup A_2 \cup A_3) = 0.23 + 0.26 + 0.28 - 0.09 - 0.05 - 0.11 + 0.01


P(A_1 \cup A_2 \cup A_3) = 0.53

User Jason Landbridge
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