10. A supermarket conducted a survey of 1000 consumers. Their population was "adults who shop for groceries." Use specificexamples to explain how the following biases could have had the following effects:a. How could sampling bias have made it seem like adults eat more bread than in reality?b. How could non-response bias have made it seem like adults eat less fruit than in reality?c. How could response bias have made it seem like adults eat more vegetables than in reality?d. How could measurement bias have made it seem like adults drink more coffee than in reality?

a. Sampling bias: The supermarket might have disproportionately sampled people who tend to eat more…

Answered: 10. A supermarket conducted a survey of…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

Sampling Eye Color Based on a study by Dr. P. Sorita Soni at Indiana University, we know that eye colors in the United States are distributed as follows: 40% brown, 35% blue, 12% green, 7% gray, 6% hazel. a. A statistics instructor collects eye color data from her students. What is the name for this type of sample? b. Identify one factor that might make this particular sample biased and not representative of the general population of people in the United States. c. If one person is randomly selected, what is the probability that this person will have brown or blue eyes? d. If two people are randomly selected, what is the probability that at least one of them has brown eyes?
A professor wants to know which type of instructional mode students had more satisfaction. The professor randomly selected n = 5 students from each of the following types of classes: online only, hybrid, and face-to face only. Student were given a satisfaction survey. Are their differences in student satisfaction among the different instructional modes. The data are below: Online Hybrid Face-to-Face 3 3 4 3 3 1 3 1 3 2 2 2 2 1 3 Which of the following is the appropriate statistical conclusion? According to the ANOVA, there was an overall significant difference among the three instructional modes. However, there was not a significant differcene between any two instructional modes using the Tukey's post hoc test. According to the ANOVA, there was an overall significant difference among the three instructional modes. There was were significant differcene between all two pairs of instructional modes using the Tukey's post hoc test. According…
in a study of the effectiveness of wearing seat belts, a group of people who had survived car accidents in which they had not worn seat belts reported that seat belts would not have helped them. specify the type of bias involved
2. Which source of bias is most relevant to the following situation: A survey ask the following: Should the death penalty be permitted if innocent people might die?
In 2010, the Physicians Foundation conducted a survey of physicians' attitudes about health care reform, saying that the report was "a survey of 100,000 physicians." The survey was sent to 100,000 randomly selected physicians practicing in the United States: 40,000 via post-office mail and 60,000 via email. Assume that a total of 2311 completed surveys were received. O Macmillan Learning What population is sampled in this survey? The population is 100,000 randomly selected physicians practicing in the United States. The population is all physicians. O The population is 2311 physicians that completed surveys. O The population is all physicians practicing in the United States. What is the sample size for this survey? Give your answer as a whole number. n = Could you draw conclusions from this study about all
(AP statistics) which is the correct answer?
Mike Jimenez is president of the teachers’ union for Preston School District. In preparing for upcoming negotiations, he would like to investigate the salary structure of classroom teachers in the district. He believes there are three factors that affect a teacher’s salary: years of experience, a rating of teaching effectiveness given by the principal, and whether the teacher has a master’s degree (0 = No, 1 = Yes). A random sample of 20 teachers resulted in the following data. Salary ($ Thousands) Years of Experience Principal's Rating Master's Degree 51.1 8 95 0 43.6 5 84 0 39.3 2 100 1 53 15 51 1 48.6 11 53 0 55 14 81 1 52 9 85 0 46.8 7 52 1 58.6 22 68 1 41.7 3 97 1 35.7 1 83 0 40.6 5 71 0 61.8 23 77 1 46.7 17 61 0 48.4 12 83 1 43.6 14 71 0 51.8 8 59 1 40.7 4 93 0 42.8 2 58 1 42.9 8 90 0 d. Develop a correlation matrix and state the correlation for each independent variable as it relates to the dependent variable. (Round all…
3. A community college wants to ask its students about campus safety, but the survey is only given during the day, so evening students are not represented. This is an example of: Sampling Bias Confirmation Bias Nonresponse Bias Response Bias
A choral conductor has 1721 singers in her choir, some of them are professional singers. The conductor wants to estimate what percentage of singers are professional, but can't ask all 1721, so she instead asks 652 singers in front and finds 15 who are professionals. 1. Identify the statistic.A. 15/652B. entire choir membersC. 1721D. None of the above. 2. What specific type of bias does this scenario demonstrate?A. Convenience SamplingB. Voluntary response samplingC. It is representative of the population.D. None of the above. 3. Identify the populationA. entire singersB. 15/1721C. percentage of entire singers who are professionalD. None of the above.
A dentist wants to a conduct a survey via telephone to determine what percent of all adults in their city floss daily. Which of these is the best example of response bias? Some people might not answer their phone after repeated calls. People with unlisted phone numbers or people with cell phones might be left out of the sample. Some people might refuse to tell a stranger on the phone about their flossing habits. Some people might feel pressured to say they floss even though they don’t.
Mike Jimenez is president of the teachers’ union for Preston School District. In preparing for upcoming negotiations, he would like to investigate the salary structure of classroom teachers in the district. He believes there are three factors that affect a teacher’s salary: years of experience, a rating of teaching effectiveness given by the principal, and whether the teacher has a master’s degree (0 = No, 1 = Yes). A random sample of 20 teachers resulted in the following data. Salary ($ Thousands) Years of Experience Principal's Rating Master's Degree 51.1 8 95 0 43.6 5 84 0 39.3 2 100 1 53 15 51 1 48.6 11 53 0 55 14 81 1 52 9 85 0 46.8 7 52 1 58.6 22 68 1 41.7 3 97 1 35.7 1 83 0 40.6 5 71 0 61.8 23 77 1 46.7 17 61 0 48.4 12 83 1 43.6 14 71 0 51.8 8 59 1 40.7 4 93 0 42.8 2 58 1 42.9 8 90 0 g. What does the value of the Coefficient of Determination tell you about the data? h. Run a diagnosis to deterime if the model is…
2. A researcher wants to investigate if people belonging to different income groups are homogeneous in their attitude regarding playing the lottery. A sample of 600 people from the low-income group, another sample of 500 people from the middle-income group, and a third sample of 400 people from the high-income group. The result of the survey is recorded in the table below. Attitude Pay often Play sometimes Never play Low 170 290 140 Income Group Middle 160 220 120 High 90 120 190 Using a significance level of a = 0.05, can you reject the null hypothesis that the percentages of people who play the lottery often, sometimes, and never are the same for each income group?

SEE MORE QUESTIONS

Recommended textbooks for you

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

SEE MORE TEXTBOOKS