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Q.4.16

Page 170

Let Xbe a Poisson random variable with parameter . Show that PX=iincreases monotonically and then decreases monotonically asiincreases, reaching its maximum when iis the largest integer not exceeding .

Hint: Consider PX=i/PX=i1.

Q. 4.17

Page 174

A total of 2npeople, consisting of nmarried couples, are randomly divided into npairs. Arbitrarily number the women, and let Widenote the event that woman iis paired with her husband.

  1. FindP(Wi).
  2. For ij,find role="math" localid="1646662043709" PWiWj.
  3. When nis large, approximate the probability that no wife is paired with her husband.
  4. If each pairing must consist of a man and a woman, what does the problem reduce to?

Q. 4.17

Page 170

Let X be a Poisson random variable with parameter 位.

  • (a) Show thatP{Xis even}=121+e2by using the result of Theoretical Exercise 4.15 and the relationship between Poisson and binomial random variables.
  • (b) Verify the formula in part (a) directly by making use of the expansion ofe+e

Q.4.17

Page 164

Suppose that the distribution function of X given by

F(b)=0鈥呪赌呪赌呪赌b<0b4鈥呪赌呪赌呪赌0b<112+b14鈥呪赌呪赌呪赌1b<21112鈥呪赌呪赌呪赌2b<31鈥呪赌呪赌呪赌3b

(a) Find P{X=i},i=1,2,3.

(b) Find P12<X<32.

Q. 4.18

Page 164

Four independent flips of a fair coin are made. Let X denote the number of heads obtained. Plot the probability mass function of the random variable X-2.

Q. 4.19

Page 164

If the distribution function of Xis given by

F(b)=0鈥呪赌呪赌呪赌b<012鈥呪赌呪赌呪赌0b<135鈥呪赌呪赌呪赌1b<245鈥呪赌呪赌呪赌2b<3910鈥呪赌呪赌呪赌3b<3.51鈥呪赌呪赌呪赌b3.5

calculate the probability mass function of X.

Q. 4.19

Page 174

When three friends go for coffee, they decide who will pay the check by each flipping a coin and then letting the 鈥渙dd person鈥 pay. If all three flips produce the same result (so that there is no odd person), then they make a second round of flips, and they continue to do so until there is an odd person. What is the probability that

  1. exactly 3rounds of flips are made?
  2. more than 4rounds are needed?

Q.4.19

Page 171

Show that Xis a Poisson random variable with parameter , then

EXn=E(X+1)n-1

Now use this result to compute EX3.

Q. 4.2

Page 173

Suppose that Xtakes on one of the values0,1and2. If for some constantc,P{X=i}=cP{X=i-1},i=1,2, findE[X].

Q.4.2

Page 163

Two fair dice are rolled. Let X equal the product of the 2 dice. Compute P{X=i}fori=1,,36.

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