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

Stronger players A football coach hears that a new exercise program will increase upper-body strength better than lifting weights. He is eager to test this new program in the off-season with the players on his high school team. The coach decides to let his players choose which of the two treatments they will undergo for3weeks—exercise or weight lifting. He will use the number of push-ups a player can do at the end of the experiment as the response variable. Which principle of experimental design does the coach’s plan violate? Explain how this violation could lead to confounding.

Short Answer

Expert verified

The principle of random assignment is violated, and this could lead to confounding because the players can have the same characteristics and it will affect the results.

Step by step solution

01

Given Information

We are given that the coach let the players decide whether they had to do weight lifting or exercise, and at last he will select by the push-ups, and we have to find out which principle of experiment is violated and how it could lead to confounding.

02

Explanation

There are three principles of experimental design: comparison, random assignment, and control and replication.

From these, comparison is satisfied because weight lifting and exercise are compared and control and replication are also satisfied because weight lifting is a control treatment.

However, random assignment is not satisfied because the coach lets the players decide the treatment and treatment is not given to them randomly. This could lead to confounding because the players' choosing weight lifting can be similar and that can affect the results.

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

Layoffs and “survivor guilt” Workers who survive a layoff of other employees at their location may suffer from “survivor guilt.” A study of survivor guilt and its effects used as subjects 120students who were offered an opportunity to earn extra course credit by doing proofreading. Each subject worked in the same cubicle as another student, who was an accomplice of the experimenters. At a break midway through the work, one of three things happened:

Treatment 1: The accomplice was told to leave; it was explained that this was because she performed poorly.

Treatment 2: It was explained that unforeseen circumstances meant there was only enough work for one person. By “chance,” the accomplice was chosen to be laid off.

Treatment 3: Both students continued to work after the break. The subjects’ work performance after the break was compared with their performance before the break. Overall, subjects worked harder when told the other student’s dismissal was random.

Describe how you would randomly assign the subjects to the treatments

a. using slips of paper.

b. using technology.

c. using Table D.

Two essential features of all statistically designed experiments are

a. comparing several treatments; using the double-blind method.

b. comparing several treatments; using chance to assign subjects to treatments.

c. always having a placebo group; using the double-blind method.

d. using a block design; using chance to assign subjects to treatments.

e. using enough subjects; always having a control group.

Bias in a sampling method is

a. any difference between the sample result and the truth about the population.

b. the difference between the sample result and the truth about the population due to

using chance to select a sample.

c. any difference between the sample result and the truth about the population due to

practical difficulties such as contacting the subjects selected.

d. any difference between the sample result and the truth about the population that

tends to occur in the same direction whenever you use this sampling method.

e. racism or sexism on the part of those who take the sample.

Kissing the right way According to a newspaper article, “Most people are kissing the

‘right way.’” That is, according to a study, the majority of couples prefer to tilt their heads

to the right when kissing. In the study, a researcher observed a random sample of124

kissing couples and found that 8312466.9%of the couples tilted to the right. To

determine if these data provide convincing evidence that couples are more likely to tilt

their heads to the right, 100simulated SRSs were selected.

Each dot in the graph shows the number of couples that tilt to the right in a simulated SRS

of124couples, assuming that each couple has a 50%chance of tilting to the right.

a. Explain how the graph illustrates the concept of sampling variability.

b. Based on the data from the study and the results of the simulation, is there convincing

evidence that couples prefer to kiss the “right way”? Explain your answer.

Suppose that 35% of the voters in a state are registered as Republicans, 40% as

Democrats, and 25% as Independents. A newspaper wants to select a sample of 1000

registered voters to predict the outcome of the next election. If it randomly selects 350

Republicans, randomly selects 400 Democrats, and randomly selects 250 Independents,

did this sampling procedure result in a simple random sample of registered voters from

this state?

a. Yes, because each registered voter had the same chance of being chosen.

b. Yes, because random chance was involved.

c. No, because not all registered voters had the same chance of being chosen.

d. No, because a different number of registered voters was selected from each party.

e. No, because not all possible groups of 1000 registered voters had the same chance of

being chosen.

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