The prior probabilities for events A1 and A2 are P(A1) = 0.40 and P(A2) = 0.60. It is also known that P(A1n A2) = 0. Suppose P(B|A1) = 0.10 and P(B|A2) = 0.60. a. Are events A and A, mutually exclusive? Yes Explain. (i) P(A1 N A2) = 0 (ii) P(A1) + P(A2) = 1 (iii) P(A2) # P (A2 | A1) (iv) P(A2) # P(A2 | A1) choice (i) b. Compute P(ANB) (to 2 decimals). .04 Compute P(A2NB) (to 2 decimals). .36 c. Compute P(B) (to 2 decimals). .40 d. Apply Bayes' theorem to compute P(A|B) (to 4 decimals). Also apply Bayes' theorem to compute P(A2|B) (to 4 decimals). .9

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The prior probabilities for events A1 and A2 are P(A1) = 0.40 and P(A2) = 0.60. It is also known that P(A1N A2) = 0. Suppose P(B|A1) = 0.10 and
P(B|A2) = 0.60.
a. Are events A1 and A2 mutually exclusive?
Yes
Explain.
(i) P(A1 N A2) = 0
(ii) P(A1) + P(A2) = 1
(iii) P(A2) # P (A2 | A1)
(iv) P(A2) # P(A2 | A1)
choice (i)
b. Compute P(A1 B) (to 2 decimals).
.04
Compute P(A2 N B) (to 2 decimals).
.36
c. Compute P(B) (to 2 decimals).
.40
d. Apply Bayes' theorem to compute P(A1|B) (to 4 decimals).
Also apply Bayes' theorem to compute P(A2|B) (to 4 decimals).
.9
Transcribed Image Text:The prior probabilities for events A1 and A2 are P(A1) = 0.40 and P(A2) = 0.60. It is also known that P(A1N A2) = 0. Suppose P(B|A1) = 0.10 and P(B|A2) = 0.60. a. Are events A1 and A2 mutually exclusive? Yes Explain. (i) P(A1 N A2) = 0 (ii) P(A1) + P(A2) = 1 (iii) P(A2) # P (A2 | A1) (iv) P(A2) # P(A2 | A1) choice (i) b. Compute P(A1 B) (to 2 decimals). .04 Compute P(A2 N B) (to 2 decimals). .36 c. Compute P(B) (to 2 decimals). .40 d. Apply Bayes' theorem to compute P(A1|B) (to 4 decimals). Also apply Bayes' theorem to compute P(A2|B) (to 4 decimals). .9
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