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Solutions to various probability theory problems involving finding probabilities of intersections and conditional probabilities. The problems include finding the probability of an event given that another event has occurred, finding the probability of two events occurring together, and proving relationships between probabilities. The solutions involve using the formula for conditional probability and the additive property of probability.
Typology: Assignments
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(a) P (A) = 14 , P (B|A) = 13 , P (A|B) = 12. P (A ∪ B) =?. Solution(4 pts) P (A ∩ B) = P (B|A)P (A) = 13 · 14 = 121. P (B) = P P^ ( (AA∩|BB)) = 121 1 2
(b) Given that P (A) = p, P (B) = 1 − ε. Prove p − ε 1 − ε
p 1 − ε
Solution(6 pts) Proof P (A|B) = P^ P(A (B∩B) )≤ ((PP^ ((BA)) = (^1) −pε. P (A|B) = P^ P(A (∩BB) )= P^ (A)+P^ ( PB (B)−)P (A∪B)= p+1−ε 1 −−Pε^ ( A∩B)≥ p+1 1 −−εε− 1 = p 1 −−εε.
P (B|A) = P^ P(A (∩AB) )= 13.
(a) Find the probability that the ball is: (i) red, (ii) white, (iii) blue. Solution(9 pts) Construct the corresponding stochastic tree diagram as in Fig 1. We seek P (R) (the probability that the ball is red), P (W ) (the probability that the ball is white), P (B) (the probability that the ball is blue).
2/
4/
A
B
8/ 2/
2/
2/ 6/ 0
R W B R W B
Figure 1: Problem 5 Tree Diagram
i. P (R) = 26 · 128 + 46 · 28 = 187. ii. P (W ) = 26 · 122 + 46 · 68 = 59. iii. P (B) = 26 · 122 = 181. (b) Find the probability that box A was selected if the ball is red. Solution(6 pts) We seek P (A|R), the probability that A was selected, given that the ball is red. Thus, it is necessary to find P (A ∩ R) and P (R). P (A ∩ R) = 26 · 128 = 29. P (R) = 187. P (A|R) = P^ ( PA (R∩R) )= 47.