The prior probabilities for events A₁, A₂, and A3 are P(A₂) = 0.20, P(A₂) = 0.50, and P(A3) = 0.30. The conditional probabilities of event B given A₁, A₂, and A3 are P(B | A₁) = 0.30, P(B|A₂) = 0.50, and P(B | A₂) = 0.20. (Assume that A₁, A₂, and A are mutually exclusive events whose union is the entire sample space.) (a) Compute P(B n A₂), P(B n A₂), and P(B n A3). x P(BnA₂) = P(Bn A₂) = X P(Bn A₂) x P(A)P(BIA) (b) Apply Bayes' theorem, PA, 1 B) = P(A₁)P(B | A₁) + P(A₂)P(B | A₂) + ... + P(A)P(B \ A₂)” A₁ - A₂ (c) Use the tabular approach to applying Bayes' theorem to compute P(A₁ | B), P(A₂ 1 B), and P(A3 | B). (Round your answers to two decimal places.) Events P(A₁) P(BA) P(A,B) P(A, IB) A3 X 0.20 0.50 0.30 1.00 0.30 0.50 C C 0.20 . CHEL SAN to compute the posterior probability P(A₂ | B). (Round your answer to two decimal places.) 1.00
The prior probabilities for events A₁, A₂, and A3 are P(A₂) = 0.20, P(A₂) = 0.50, and P(A3) = 0.30. The conditional probabilities of event B given A₁, A₂, and A3 are P(B | A₁) = 0.30, P(B|A₂) = 0.50, and P(B | A₂) = 0.20. (Assume that A₁, A₂, and A are mutually exclusive events whose union is the entire sample space.) (a) Compute P(B n A₂), P(B n A₂), and P(B n A3). x P(BnA₂) = P(Bn A₂) = X P(Bn A₂) x P(A)P(BIA) (b) Apply Bayes' theorem, PA, 1 B) = P(A₁)P(B | A₁) + P(A₂)P(B | A₂) + ... + P(A)P(B \ A₂)” A₁ - A₂ (c) Use the tabular approach to applying Bayes' theorem to compute P(A₁ | B), P(A₂ 1 B), and P(A3 | B). (Round your answers to two decimal places.) Events P(A₁) P(BA) P(A,B) P(A, IB) A3 X 0.20 0.50 0.30 1.00 0.30 0.50 C C 0.20 . CHEL SAN to compute the posterior probability P(A₂ | B). (Round your answer to two decimal places.) 1.00
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:The prior probabilities for events A₁, A₂, and A3 are P(A₁) = 0.20, P(A₂) = 0.50, and P(A3) = 0.30. The conditional probabilities of event B given A₁, A₂, and A3 are P(B | A₁) = 0.30, P(B|A₂) = 0.50, and P(B | A₂) = 0.20. (Assume that A₁, A₂, and A
are mutually exclusive events whose union is the entire sample space.)
(a) Compute P(Bn A₂), P(B n A₂), and P(B n A3).
P(B n A₂) =
P(Bn A₂)
P(Bn A₂) =
P(A)P(BIA)
(b) Apply Bayes' theorem, PA, 1 B)=P(A₂)P(B | A₂) + P(A₂)P(B | A₂) + ... + P(A)P(BA)
X
A₂
(c) Use the tabular approach to applying Bayes' theorem to compute P(A₁ | B), P(A₂ 1 B), and P(A3 | B). (Round your answers to two decimal places.)
Events P(A₁) P(B|A₂) P(A, B)
P(A, | B)
A₁
A3
0.20
0.50
x
X
X
0.30
1.00
0.30
0.50
0.20
F
P
SIGN
to compute the posterior probability P(A₂ | B). (Round your answer to two decimal places.)
1.00
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