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

Expert verified

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)

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free