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

Running red lights An SRS of 880 drivers was asked: “Recalling the last

ten traffic lights you drove through, how many of them were red when you entered the

intersections?” Of the 880 respondents, 171 admitted that at least one light had been red.

A practical problem with this survey is that people may not give truthful answers. Explain

the likely direction of the bias.

Short Answer

Expert verified

The directions of this bias will be towards higher side as most people will not want to admit to driving through a red light and thus the proportion is likely higher.

Step by step solution

01

Given information

We need to explain the likely direction of the bias.

02

Explanation

Because most individuals are reluctant to admit to running a red light, the percentage is likely to be greater, implying that more than 171respondents have done so.

These causes of bias are not sampling error, and the margin of error only covers sampling error, hence they have been excluded from the margin of error.

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

Sampling mall shoppers You may have seen the mall interviewer, clipboard in hand, approaching people passing by. Explain why even a large sample of mall shoppers would not provide a trustworthy estimate of the current unemployment rate in the city where the mall is located.

Researchers randomly selected1700 people from Canada who had never suffered a

heart attack and rated the happiness of each person. Ten years later, the researchers

followed up with each person and found that people who were initially rated as happy

They were less likely to have a heart problem.

Which of the following is the most

appropriate conclusion based on this study?

a. Happiness causes better heart health for all people.

b. Happiness causes better heart health for Canadians.

c. Happiness causes better heart health for the1700people in the study.

d. Happier people in Canada are less likely to have heart problems.

e. Happier people in the study were less likely to have heart problems.

A louse-y situation A study published in the New England Journal of Medicine compared two medicines to treat head lice: an oral medication called ivermectin and a topical lotion containing malathion. Researchers studied 812 people in 376 households in seven areas around the world. Of the 185 households randomly assigned to ivermectin, 171 were free from head lice after 2 weeks, compared with only 151 of the 191 households randomly assigned to malathion.

a. Calculate the difference (Ivermectin – Malathion) in the proportion of households that were free from head lice in the two groups.

One hundred trials of a simulation were performed to see what differences in proportions would occur due only to chance variation in the random assignment, assuming that the type of medication doesn’t matter. The results are shown in the dotplot.

b. There is one dot at 0.09. Explain what this dot means in this context.

c. Use the results of the simulation to determine if the difference in proportions from part (a) is statistically significant. Explain your reasoning.

A local news agency conducted a survey about unemployment by randomly dialing phone

numbers during the work day until it gathered responses from 1000 adults in its state. In

the survey, 19% of those who responded said they were not currently employed. In reality,

only 6% of the adults in the state were not currently employed at the time of the survey.

Which of the following best explains the difference in the two percentages?

a. The difference is due to sampling variability. We shouldn’t expect the results of a

random sample to match the truth about the population every time.

b. The difference is due to response bias. Adults who are employed are likely to lie and

say that they are unemployed.

c. The difference is due to undercoverage bias. The survey included only adults and did

not include teenagers who are eligible to work.

d. The difference is due to nonresponse bias. Adults who are employed are less likely to

be available for the sample than adults who are unemployed.

e. The difference is due to voluntary response. Adults are able to volunteer as a member

of the sample.

Nonresponse A survey of drivers began by randomly sampling from all listed residential

telephone numbers in the United States. Of 45,956 calls to these numbers, 5029 were

completed. The goal of the survey was to estimate how far people drive, on average, per

day. Describe how nonresponse might lead to bias in this study. Explain the likely

direction of the bias.

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