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91Ó°ÊÓ

Q. 4.1

Page 173

Suppose that the random variable Xis equal to the number of hits obtained by a certain baseball player in his next 3at-bats. If P{X=1}=3,P{X=2}=2andP{X=0}=3P{X=3}, find E[X].

Q.4.1

Page 169

There are N distinct types of coupons, and each time one is obtained it will, independently of past choices, be of type i with probability Pi, i = 1, ... , N. Let T denote the number one need select to obtain at least one of each type. Compute P{T = n}.

Q.4.10

Page 170

LetX be a binomial random variable with parameters n and p. Show thatE1X+1=1-(1-p)n+1(n+1)p

Q.4.10

Page 163

LetXbe the winnings of a gambler. Let p(i)=P(X=i)and suppose that

p(0)=1/3;p(1)=p(-1)=13/55

p(2)=p(-2)=1/11;p(3)=p(-3)=1/165

Compute the conditional probability that the gambler wins i,i=1,2,3,given that he wins a positive amount.

Q.4.10

Page 173

An urn containsnballs numbered 1through n. If you withdraw mballs randomly in sequence, each time replacing the ball selected previously, findP{X=k},k=1,...,m

where Xis the maximum of the mchosen numbers.

Hint: First find P{X≤k}.

Q.4.11

Page 174

Teams A and B play a series of games, with the first team to win 3 games being declared the winner of the series. Suppose that team A independently wins each game with probability p. Find the conditional probability that team A wins

(a) the series given that it wins the first game;

(b) the first game given that it wins the series.

Q.4.12

Page 163

In the game of Two-Finger Morra, 2players show 1or 2fingers and simultaneously guess the number of fingers their opponent will show. If only one of the players guesses correctly, he wins an amount (in dollars) equal to the sum of the fingers shown by him and his opponent. If both players guess correctly or if neither guesses correctly, then no money is exchanged. Consider a specified player, and denote by X the amount of money he wins in a single game of Two-Finger Morra.

(a) If each player acts independently of the other, and if each player makes his choice of the number of fingers he will hold up and the number he will guess that his opponent will hold up in such a way that each of the 4possibilities is equally likely, what are the possible values of Xand what are their associated probabilities?

(b) Suppose that each player acts independently of the other. If each player decides to hold up the same number of fingers that he guesses his opponent will hold up, and if each player is equally likely to hold up 1or 2 fingers, what are the possible values ofX and their associated probabilities?

Q.4.12

Page 170

There are n components lined up in a linear arrangement. Suppose that each component independently functions with probability p. What is the probability that no 2 neighboring components are both nonfunctional?

Q.4.12

Page 174

A local soccer team has 5more games left to play. If it wins its game this weekend, then it will play its final 4games in the upper bracket of its league, and if it loses, then it will play its final games in the lower bracket. If it plays in the upper bracket, then it will independently win each of its games in this bracket with probability .4, and if it plays in the lower bracket, then it will independently win each of its games with probability .7. If the probability that the team wins its game this weekend is .5, what is the probability that it wins at least3of its final4games?

Q.4.13

Page 170

Let X be a binomial random variable with parameters (n, p). What value of p maximizes P{X = k}, k = 0, 1, ... , n? This is an example of a statistical method used to estimate p when a binomial (n, p) random variable is observed to equal k. If we assume that n is known, then we estimate p by choosing that value of p that maximizes P{X = k}. This is known as the method of maximum likelihood estimation.

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