/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q.8.4 Suppose that the number of units... [FREE SOLUTION] | 91影视

91影视

Suppose that the number of units produced daily at factory A is a random variable with mean 20and standard deviation 3and the number produced at factory B is a random variable with mean 18and standard deviation of 6. Assuming independence, derive an upper bound for the probability that more units are produced today at factory B than at factory A.

Short Answer

Expert verified

An upper bound for the probability that more units are produced today at factory B than at factory A is 45/49=.9184.

Step by step solution

01

Given Information

Let XArepresents the number of units produced daily at factory Aand XBrepresents the number of units produced daily at factory B. For these random variables is given that:

A=EXA=20,A=3,B=EXB=18,A=6

Also, assume that random variables XAand XBare independent.

02

Explanation

The probability that more units are produced today at factory Bthan at factory Ais

PXB>XA=PXB-XA>0.

In that case, let's consider the random variable X=XB-XA. The random variable Xhas mean

=E[X]=B-A=-2

and, because of independence, variance

2=Var(X)=B2+A2=45

Now, using Corollary for a=2, we get:

P{X>-2+2}22+22=4545+4=.9184

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 91影视!

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

Let X1,X2,be a sequence of independent and identically distributed random variables with distributionF, having a finite mean and variance. Whereas the central limit theorem states that the distribution ofi=1nXiapproaches a normal distribution as ngoes to infinity, it gives us no information about how largenneed to be before the normal becomes a good approximation. Whereas in most applications, the approximation yields good results whenevern20, and oftentimes for much smaller values ofn, how large a value of nis needed depends on the distribution ofXi. Give an example of distribution Fsuch that the distributioni=1100Xiis not close to a normal distribution.

Hint: Think Poisson.

Redo Example5bunder the assumption that the number of man-woman pairs is (approximately) normally distributed. Does this seem like a reasonable supposition?

A.J. has 20 jobs that she must do in sequence, with the times required to do each of these jobs being independent random variables with mean 50 minutes and standard deviation 10 minutes. M.J. has 20 jobs that he must do in sequence, with the times required to do each of these jobs

being independent random variables with mean 52 minutes and standard deviation 15 minutes.

(a) Find the probability that A.J. finishes in less than 900 minutes.

(b) Find the probability that M.J. finishes in less than 900 minutes.

(c) Find the probability that A.J. finishes before M.J.

A.J. has 20jobs that she must do in sequence, with the times required to do each of these jobs being independent random variables with a mean of50minutes and a standard deviation of10minutes. M.J. has 20jobs that he must do in sequence, with the times required to do each of these jobs being independent random variables with a mean of52minutes and a standard deviation of 15minutes.

(a)Find the probability that A.J. finishes in less than 900minutes.

(b)Find the probability that M.J. finishes in less than900minutes.

(c)Find the probability that A.J. finishes before M.J.

Suppose a fair coin is tossed 1000times. If the first 100tosses all result in heads, what proportion of heads would you expect on the final900tosses? Comment on the statement 鈥淭he strong law of large numbers swamps but does not compensate.鈥

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.