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Choose a number X at random from the set of numbers 1,2,3,4,5. Now choose a number at random from the subset no larger than X, that is, from 1...,X. Call this second number Y.

(a) Find the joint mass function of X and Y.

(b) Find the conditional mass function of X given that Y = i. Do it for i = 1,2,3,4,5.

(c) Are X and Y independent? Why?

Short Answer

Expert verified

(a) The joint mass function of X and Y:

For kl:

PY=k,X=l=15l

For k>l:

PY=k,X=l=0

(b) Conditional mass function:

P(X=lY=i)=15li=1515l

(c) The random variables X and Y are not independent.

Step by step solution

01

Given information (part a)

Number X to be chosen at random from 1,2,3,4,5

choose the second number at random from the subset 1,,X

02

Explanation (part a)

We have that X~DUnif1,...,5

Observe that YXalmost certainly.

Also, Y1,...,5

Forkl,

we have

P(X=lY=i)=P(Y=i,X=l)P(Y=i)=15li=1515l

For k>l:

PY=k,X=l=0

03

Given information (part b)

Number X to be chosen at random from 1,2,3,4,5

Choose the second number at random from the subset 1,,X

also, Y=iwhere, i=1,2,3,4,5

04

Explanation (part b)

Using total probability law,

P(Y=i)=l=i5P(Y=i,X=l)=l=i515l

then for il,

We have role="math" localid="1647231229404" P(X=lY=i)=P(Y=i,X=l)P(Y=i)=15li=1515l

05

Given information (part c)

Number X to be chosen at random from 1,2,3,4,5

Choose the second number at random from the subset 1,,X

06

Explanation (part c)

Since YX,

Then take any k>l.

Suppose that take k=2,l=1

thus PY=k,X=l=0

On the other hand, it is quite obvious that PY=k>0and PX=l>0.

Thus, P(Y=k,X=l)P(Y=k)P(X=l)

Therefore, they are not independent

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Most popular questions from this chapter

Consider a directory of classified advertisements that consists of m pages, where m is very large. Suppose that the number of advertisements per page varies and that your only method of finding out how many advertisements there are on a specified page is to count them. In addition, suppose that there are too many pages for it to be feasible to make a complete count of the total number of advertisements and that your objective is to choose a directory advertisement in such a way that each of them has an equal chance of being selected.

(a) If you randomly choose a page and then randomly choose an advertisement from that page, would that satisfy your objective? Why or why not? Let n(i) denote the number of advertisements on page i, i = 1, ... , m, and suppose that whereas these quantities are unknown, we can assume that they are all less than or equal to some specified value n. Consider the following algorithm for choosing an advertisement.

Step 1. Choose a page at random. Suppose it is page X. Determine n(X) by counting the number of advertisements on page X.

Step 2. “Accept” page X with probability n(X)/n. If page X is accepted, go to step 3. Otherwise, return to step 1.

Step 3. Randomly choose one of the advertisements on page X. Call each pass of the algorithm through step 1 an iteration. For instance, if the first randomly chosen page is rejected and the second accepted, then we would have needed 2 iterations of the algorithm to obtain an advertisement.

(b) What is the probability that a single iteration of the algorithm results in the acceptance of an advertisement on page i?

(c) What is the probability that a single iteration of the algorithm results in the acceptance of an advertisement?

(d) What is the probability that the algorithm goes through k iterations, accepting the jth advertisement on page i on the final iteration?

(e) What is the probability that the jth advertisement on page i is the advertisement obtained from the algorithm?

(f) What is the expected number of iterations taken by the algorithm?

The time that it takes to service a car is an exponential random variable with rate 1.

(a) If A. J. brings his car in at time0and M. J. brings her car in at time t, what is the probability that M. J.’s car is ready before A. J.’s car? (Assume that service times are independent and service begins upon arrival of the car.)

(b) If both cars are brought in at time 0, with work starting on M. J.’s car only when A. J.’s car has been completely serviced, what is the probability that M. J.’s car is ready before time 2?

Consider an urn containing n balls numbered 1,.....,nand suppose that k of them are randomly withdrawn. Let Xiequal 1if ball number iis removed and let Xibe 0 otherwise. Show that X1,......Xn are exchangeable .

If X and Y are independent continuous positive random variables, express the density function of (a) Z = X/Y and (b) Z = XY in terms of the density functions of X and Y. Evaluate the density functions in the special case where X and Y are both exponential random variables

If X and Y are independent standard normal random variables, determine the joint density function of

U=XV=XY

Then use your result to show that X/Yhas a Cauchy distribution.

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