/*! 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.55 Bottling cola A hattling compamy... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Bottling cola A hattling compamy uses a fillimg maichine to fill plastic botles with cola. The bottles are supposed to contain 300milliliters (ml) . In fact, the contents vary according to a Normal distribution with mean μ=298ml and standard deviation σ=3ml

(a) What is the probability that in individual bottle contains less than 295ml? Show you work.

(b) What is the probability that the mean contents of six randomly selected bottles is less than 295ml? Show your work.

Short Answer

Expert verified

(a) The probability is 0.1587

(b) The probability is0.0071

Step by step solution

01

Part (a)  Step-1 Given Information 

Given in the question that,

population meanμ=298μ=298

Population standard deviation σ=3

we have to find that the probability that in individual bottle contains less than 295ml.

02

Part (a) Step-2 Explanation

The formula to compute the Z- score is:

z=x-μσ

xis raw score

μis population mean

sis population standard deviation

Consider, Xbe the random variable that shows the amount of cola in plastic bottles follows the normal distribution with mean =298mland standard deviation =3ml.

The probability that an individual bottle would contain less than295mlcola can be computed as:

P(X<295)=Px-μσ<195-μσ

=PZ<295-2983

=P(Z<-1)(Fromstandardnormaltable)

=0.1587

Thus, the required probability is 0.1587.

03

Part (b) Step-1 Given Information 

Given in the question that sample size(n)=6we have to find that the probability that the mean contents of six randomly selected bottles is less than 295ml.

04

Part (b) Step-2:  Explanation 

The probability that mean content in randomly chosen 6bottles is less than 295mlis calculated as follows:

P(X¯<295)=Px-μσn<295-μσn

=PZ<295-29836

P(Z<-2.45)(Fromstandardnormaltable)=P(Z<-2.45)(Fromstandardnormaltable)

=0.0071

Thus the require probability is0.0071

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 91Ó°ÊÓ!

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

IRS audits The Internal Revenue Service plans to examine an SRS of individual federal income tax returns from each state. One variable of interest is the proportion of returns claiming itemized deductions. The total number of tax returns in each state varies from over 15 million in California to about 240,000in Wyoming.

(a) Will the sampling variability of the sample proportion change from state to state if an SRS of 2000tax returns is selected in each state? Explain your answer.

(b) Will the sampling variability of the sample proportion change from state to state if an SRS of 1%of all tax returns is selected in each state? Explain your answer

Squirrels and their food supply (3.2) Animal species produce more offspring when their supply of food goes up. Some animals appear able to anticipate unusual food abundance. Red squirrels eat seeds from pinecones, a food source that sometimes has very large crops. Researchers collected data on an index of the abundance of pinecones and the average number of offspring per female over 16years. Computer output from a least-squares regression on these data and a residual plot.

(a) Give the equation for the least-squares regression line. Define any variables you use.

(b) Explain what the residual plot tells you about how well the linear model fits the data.

(c) Interpret the values of r2and s in context.

Do you go to church? What sample size would be required to reduce the standard deviation of the sampling distribution to one-third the value you found in Exercise 36 (b)? Justify your answer.

The number of hours a light bulb burns before failing varies from bulb to bulb. The distribution of burnout times is strongly skewed to the right. The central limit theorem says that

(a) as we look at more and more bulbs, their average burnout time gets ever closer to the mean μ for all bulbs of this type.

(b) the average burnout time of a large number of bulbs has a distribution of the same shape (strongly skewed) as the population distribution.

(c) the average burnout time of a large number of bulbs has a distribution with a similar shape but not as extreme (skewed, but not as strongly) as the population distribution.

(d) the average burnout time of a large number of bulbs has a distribution that is close to Normal.

(e) the average burnout time of a large number of bulbs has a distribution that is exactly Normal.

The number of unbroken charcoal briquets in a twenty-pound bag filled at the factory follows a Normal distribution with a mean of450briquets and a standard deviation of 20briquets. The company expects that a certain number of the bags will be underfilled, so the company will replace for free the 5% of bags that have too few briquets. What is the minimum number of unbroken briquets the bag would have to contain for the company to avoid having to replace the bag for free?

(a) 404

(b) 411

(c) 418

(d) 425

(e)448

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.