/*! 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 46. Wait times A hospital claims tha... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Wait times A hospital claims that 75% of people who come to its emergency room are seen by a doctor within 30 minutes of checking in. To verify this claim, an auditor inspects the medical records of 55 randomly selected patients who checked into the emergency room during the last year. Only 32 (58.2%) of these patients were seen by a doctor within 30 minutes of checking in.

a. If the wait time is less than 30 minutes for 75% of all patients in the emergency room, what is the probability that the proportion of patients who wait less than 30 minutes is 0.582 or less in a random sample of 55 patients?

b. Based on your answer to part (a), is there convincing evidence that less than 75% of all patients in the emergency room wait less than 30 minutes? Explain your reasoning.

Short Answer

Expert verified

Part (a)0.20%

Part (b) Yes.

Step by step solution

01

Part (a) Step 1: Given information

p=75%=0.75p^=44%=0.582n=55
02

Part (a) Step 2: Concept

σp^=p(1−p)nz=x−μσ
03

Part (a) Step 3: Calculation

The sampling distribution of the sample proportions p^has a mean of

μp^=p=0.75

The sampling distribution of the sample proportion p^standard deviation is σp^=p(1−p)n

=0.75(1−0.75)55=0.0584

The z-score is

z=x−μσ=0.582−0.750.0584=−2.88

The associating probability using the normal probability table P(Z<2.88) is given in the standard normal probability table in the row starting with -2.8 and the column starting with.08

P(p^≤0.20)=P(z<−2.88)=0.0020=0.20%

04

Part (b) Step 1: Calculation

The sampling distribution of the sample proportions p has a mean of

μp^=p=0.75

The sampling distribution of the sample proportionp has a standard deviation of

σp^=p(1−p)n=0.75(1−0.75)55=0.0584

The z-score is

z=x−μσ=0.582−0.750.0584=−2.88

The associating probability using the normal probability table P(Z<-2.88)is given in the standard normal probability table in the row starting with -2.8and the column starting with .08

Because the likelihood is not modest (less than 0.05), a sample proportion of at most 0.20is unlikely to occur by chance, and there is solid evidence that less than 75%of all emergency room patients wait less than 30minutes.

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

According to government data, 22%of American children under the age of 6 live in households with incomes less than the official poverty level. A study of learning in

early childhood chooses an SRS of300 children from one state and finds that p∧p^=.

a. Find the probability that at least 29%of the sample are from poverty-level households0.29households.

b. Based on your answer to part (a), is there convincing evidence that the percentage of children under the age of 6 living in households with incomes less than the official poverty level in this state is greater than the national value of 22%? Explain your reasoning.

The number of hours a lightbulb burns before failing varies from bulb to bulb. The population 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 sampling distribution with the same shape (strongly skewed) as the population distribution.

c. the average burnout time of a large number of bulbs has a sampling 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 sampling distribution that is close to Normal.

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

Bearings A production run of ball bearings is supposed to have a mean diameter of 2.5000centimeters (cm). An inspector chooses 100bearings at random from the run. These bearings have mean diameter 2.5009cm.

identify the population, the parameter, the sample, and the statistic.

A grocery chain runs a prize game by giving each customer a ticket that may win a prize when the box is scratched off. Printed on the ticket is a dollar value (\(500,\)100,\(25) or the statement "This ticket is not a winner." Monetary prizes can be redeemed for groceries at the store. Here is the probability distribution of the amount won on a randomly selected ticket:

Which of the following are the mean and standard deviation, respectively, of the winnings?

a. \)15.00,\(2900.00

b. \)15.00,\(53.85

c. \)15.00,\(26.93

d. \)156.25,\(53.85

e. \)156.25,$26.93

In a certain large population of adults, the distribution of IQ scores is strongly left skewed with a mean of 122 and a standard deviation of 5. Suppose 200 adults are randomly selected from this population for a market research study. For SRSs of size 200, the distribution of sample mean IQ score is

a. left-skewed with mean 122 and standard deviation 0.35.

b. exactly Normal with mean 122 and standard deviation 5.

c. exactly Normal with mean 122 and standard deviation 0.35.

d. approximately Normal with mean 122 and standard deviation 5.

e. approximately Normal with mean 122 and standard deviation 0.35.

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.