Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Verify the formula for the moment generating function of a uniform random variable that is given in Table 7.2. Also, differentiate to verify the formulas for the mean and variance.

Short Answer

Expert verified

It has been verify the formula for the moment generating function of a uniform random variable that is given in Table as(ba)212.

Step by step solution

01

Given information

The moment generating function of a uniform random variable that is given in Table

02

Solution

If X~U(a,b)

Then Mx(t)=Eetx

=abetx1badx

=1baetxtab

=ebteatt(ba)

Then it has been verified

03

Solution

Now,

Mx(t)=1(ba)ebteatt

=1(ba)1+bt+(bt)22!+(bt)33!+.1+at+(at)22!+(at)33!+t

=1(ba)(ba)tt+b2a2t22!t+b3a3t33!t+

=1+(b+a)2t+b2+a2+ab6t2+

04

Solution

Now,

Mx(t)=(b+a)2+b2+a2+ab62t+

MX(t)=b2+a2+ab3+o(t);o(t)=Terms having higher power of t

So,

E(X)=MX(t)t=0=(b+a)2

EX2=MX(t)t=0=b2+a2+ab3

V(X)=EX2[E(X)]2

=b2+a2+ab3b2+a2+2ab4

=4b2+a2+ab3b2+a2+2ab12

=(ba)212

05

Final answer

It has been verify the formula for the moment generating function of a uniform random variable that is given in Table as(ba)212.

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

If 10 married couples are randomly seated at a round table, compute

(a) The expected number and

(b) The variance of the number of wives who are seated next to their husbands.

The number of people who enter an elevator on the ground floor is a Poisson random variable with mean 10. If there are N floors above the ground floor, and if each person is equally likely to get off at any one of theN floors, independently of where the others get off, compute the expected number of stops that the elevator will make before discharging all of its passengers.

The positive random variable X is said to be a lognormal random variable with parametersμ andσ2 iflog(X) is a normal random variable with mean μand variance role="math" localid="1647407606488" σ2. Use the normal moment generating function to find the mean and variance of a lognormal random variable

Cards from an ordinary deck of 52playing cards are turned face upon at a time. If the 1st card is an ace, or the 2nd a deuce, or the 3rd a three, or ...,or the 13th a king,or the 14an ace, and so on, we say that a match occurs. Note that we do not require that the (13n + 1) card be any particular ace for a match to occur but only that it be an ace. Compute the expected number of matches that occur.

AThere are n+1participants in a game. Each person independently is a winner with probability p. The winners share a total prize of 1 unit. (For instance, if 4people win, then each of them receives 14, whereas if there are no winners, then none of the participants receives anything.) Let A denote a specified one of the players, and let Xdenote the amount that is received by A.

(a) Compute the expected total prize shared by the players.

(b) Argue that role="math" localid="1647359898823" E[X]=1(1p)n+1n+1.

(c) Compute E[X] by conditioning on whether is a winner, and conclude that role="math" localid="1647360044853" E[(1+B)1]=1(1p)n+1(n+1)p when B is a binomial random variable with parameters n and p

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