A First Course In Probability, Global Edition
A First Course In Probability, Global Edition
10th Edition
ISBN: 9781292269207
Author: Ross, Sheldon
Publisher: PEARSON
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Chapter 9, Problem 9.4PTE

Suppose that 3 white and 3 black balls are distributed in two urns in such a way that each urn contains 3 balls. We say that the system is in state i if the first urn contains i white balls. i = 0 , 1 , 2 , 3 . At each stage 1 ball is drawn from each urn and the ball drawn from the first urn is placed in the second, and conversely with the ball from the second urn. Let X n , denote the state of the system after the nth stage, and compute the transition probabilities of the Markov chain { X n , n 0 } .

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Q9. If A and B are two events, prove that P(ANB) ≥ 1 − P(Ā) – P(B). [Note: This is a simplified version of the Bonferroni inequality.]
Q6. Consider a situation where cars entering an intersection could turn right, turn left, or go straight. An experiment consists of observing two vehicles moving through the intersection. (a) How many sample points are there in the sample space? List them. (b) Assuming that all sample points are equally likely, what is the probability that at least one car turns left? (c) Again assuming equally likely sample points, what is the probability that at most one vehicle turns right?
13. If X has the distribution function F(x) = 0 1 12 for x < -1 for -1x < 1 for 1x <3 2 3 for 3≤x≤5 4 1 for x≥5 find (a) P(X ≤3); (b) P(X = 3); (c) P(X < 3); (d) P(X≥1); (e) P(-0.4
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