The prior probabilities for events Aj and Ag are P(A1) = 0.50 and P(A2) = 0.50. It is also known that P(A n A2) = 0. Suppose P(B|A1) = 0.10 and P(B|A2) = 0.70. a. Are events Aj and Az mutually exclusive? Yes Explain. i) P(A1 N A2) = o Ci) P(A1) + P(A2) = 1 (iii) P(A2) = P (A2 | A1) (iv) P(A2) = P(A2 | A1) choice (i) b. Compute P(A N B) (to 2 decimals). 0.165 Compute P(A3 N B) (to 2 decimals). 0.4819 =. Compute P(B) (to 2 decimals). 0.415 1. Apply Bayes' theorem to compute P(A1|B) (to 4 decimals). Also apply Bayes' theorem to compute P(A2|B) (to 4 decimals).

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...
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The prior probabilities for events A1 and Ag are P(A1) = 0.50 and
P(A2) = 0.50. It is also known that P(A n A2) = 0. Suppose
P(B|A1) = 0.10 and P(B|A2) = 0.70.
a. Are events Aj and Ag 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 n B) (to 2 decimals).
0.165
Compute P(A2 N B) (to 2 decimals).
0.4819
c. Compute P(B) (to 2 decimals).
0.415
d. Apply Bayes' theorem to compute P(A1|B) (to 4 decimals).
Also apply Bayes' theorem to compute P(A2|B) (to 4 decimals).
Transcribed Image Text:The prior probabilities for events A1 and Ag are P(A1) = 0.50 and P(A2) = 0.50. It is also known that P(A n A2) = 0. Suppose P(B|A1) = 0.10 and P(B|A2) = 0.70. a. Are events Aj and Ag 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 n B) (to 2 decimals). 0.165 Compute P(A2 N B) (to 2 decimals). 0.4819 c. Compute P(B) (to 2 decimals). 0.415 d. Apply Bayes' theorem to compute P(A1|B) (to 4 decimals). Also apply Bayes' theorem to compute P(A2|B) (to 4 decimals).
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