/*! 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} Q7BSC Exercises 5鈥8 refer to the stu... [FREE SOLUTION] | 91影视

91影视

Exercises 5鈥8 refer to the study of an association between which ear is used for cell phone calls and whether the subject is left-handed or right-handed. The study is reported in 鈥淗emispheric Dominance and Cell Phone Use,鈥 by Seidman et al., JAMA Otolaryngology鈥 Head & Neck Surgery, Vol. 139, No. 5. The study began with a survey e-mailed to 5000 people belonging to an otology online group, and 717 surveys were returned. (Otology relates to the ear and hearing.)

Response Rate What percentage of the 5000 surveys were returned? Does that response rate appear to be low? In general, what is a problem with a very low response rate?

Short Answer

Expert verified

The response rate is 14.34%, which is not too low.

Yes, the response rate is low.

Low response rates have chances of giving biased results.

Step by step solution

01

Given information

The number of people mailed for responses is 5000.

The number of responses received is 717.

02

Step 2:Response rates

The response rate is the percentage equivalent to the fraction of subjects who respond to the survey among the targeted sample subjects.

In the study, 717 responses were received. Therefore, the response rate is computed as follows.

\(\frac{{717}}{{5000}} \times 100 = 14.34\% \)

Thus, the response rate is 14.34%.

03

Interpretation of response rate

The response rate is quite low. As the target sample was quite large, the responses are acceptable.

04

Problem associated with a low response rate

The low response rates have a large scope of creating nonresponse bias. The validity of the data is also affected by the low response rates.

Thus, the very low response rate affects 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 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

In Exercises 21鈥24, refer to the data in the table below. The entries are white blood cell counts (1000 cells,ML) and red blood cell counts (million cells,ML) from male subjects examined as part of a large health study conducted by the National Center for Health Statistics. The data are matched, so that the first subject has a white blood cell count of 8.7 and a red blood cell count of 4.91, and so on.

Subject


12345
White8.75.97.36.25.9
Red4.915.594.444.85.17

Conclusion: If we analyze the sample data and conclude that there is a correlation between white blood cell counts and red blood cell counts, does it follow that higher white blood cell counts are the cause of higher red blood cell counts?

Statistical Significance and Practical Significance. In Exercises 13鈥16, determine whether the results appear to have statistical significance, and also determine whether the results appear to have practical significance.

IQ Scores Most people have IQ scores between 70 and 130. For $39.99, you can purchase a PC or Mac program from HighIQPro that is claimed to increase your IQ score by 10 to 20 points. The program claims to be 鈥渢he only proven IQ increasing software in the brain training market,鈥 but the author of your text could find no data supporting that claim, so let鈥檚 suppose that these results were obtained: In a study of 12 subjects using the program, the average increase in IQ score is 3 IQ points. There is a 25% chance of getting such results if the program has no effect.

In Exercises 9鈥12, determine whether the sampling method appears to be sound or is flawed.

Credit Card Payments In an AARP, Inc. survey of 1019 randomly selected adults, each was asked how much credit card debt he or she pays off each month.

Question: Statistical Significance versus Practical Significance. When testing a new treatment, what is the difference between statistical significance and practical significance? Can a treatment have statistical significance but not practical significance?

Statistical Significance versus Practical Significance. When testing a new treatment, what is the difference between statistical significance and practical significance? Can a treatment have statistical significance but not practical significance?

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.