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Suppose that F(x) is a cumulative distribution function. Show that (a) Fn(x) and (b) 1 − [1 − F(x)] n are also cumulative distribution functions when n is a positive integer. Hint: Let X1, ... , Xn be independent random variables having the common distribution function F. Define random variables Y and Z in terms of the Xi so that P{Y … x} = Fn(x) and P{Z … x} = 1 − [1 − F(x)] n

Short Answer

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Consider CDF's of random variables min (X1,......Xn) and max (X1,....X,n)

Step by step solution

01

Content Introduction

Let X1,....Xn be independent and equally distributed continuously random variables with common CDF F.

02

Content Explanation

Consider random variables Y=max(X1,....Xn)and Z=min(X1,...,Xn). Take any x.

We have that,

role="math" localid="1647442498771" FY(x)=P(Yx)=P(max(X1,.....Xn)x)=P(Xix,i)=i=1nP(Xix)=i=1nF(x)=Fn(x)

So we have CDF of Y is Fy(x)=Fn(x)

On the other hand, we have that

1-Fz(x)=P(Zx)=P(min(X1,....,Xn)x)=P(Xix,i)=i=1nP(Xix)=i=1n(1-F(x))

So we have CDF of Z isFz(x)=1-(1-F(x)n)

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Most popular questions from this chapter

If X, Y, and Z are independent random variables having identical density functions f(x)=e-x,0<x< derive the joint distribution of U=X+Y,V=X+Z,W=Y+Z.

The joint density of X and Y is given by

f(x,y)=C(y-x)e-y-y<x<y,0<y<

(a) Find C.

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(c) Find the density function of Y.

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FM(m)=nmq[F(2mx)F(x)]n1f(x)dxuncaught exception: Http Error #500

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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 joint probability density function of X and Y is given by f(x, y) = e-(x+y) 0 … x < q, 0 … y < q Find

(a) P{X < Y} and

(b) P{X < a}.

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