The article “Valuing Watershed Quality Improvements Using Conjoint Analysis” (S. Farber and B. Griner, Ecological Economics, 2000:63–76) presents the results of a mail survey designed to assess opinions on the value of improvement efforts in an acid-mine degraded watershed in Western Pennsylvania. Of the 510 respondents to the survey, 347 were male. Census data show that 48% of the target population is male. Can you conclude that the survey method employed in this study tends to oversample males? Explain.

The article “Valuing Watershed Quality Improvements Using Conjoint Analysis” (S. Farber and B. Griner, Ecological Economics, 2000:63–76) presents the results of a mail survey designed to assess opinions on the value of improvement efforts in an acid-mine degraded watershed in Western Pennsylvania. Of the 510 respondents to the survey, 347 were male. Census data show that 48% of the target population is male. Can you conclude that the survey method employed in this study tends to oversample males? Explain.

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Description: The article “Valuing Watershed Quality Improvements Using Conjoint Analysis” (S. Farber and B. Griner, Ecological Economics, 2000:63–76) presents the results of a mail survey designed to assess opinions on the value of improvement efforts in an acid-

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 8SGR

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Based on a survey of 12,344 U.S. college students and 6,729 Canadian college students, Kuo, Adlaf, Lee, Gliksman, Demers, and Wechsler (2002) report that alcohol use is more common among Canadian than U.S. students, but heavy drinking (five or more drinks in a row for males, four or more for females) is significantly higher among U.S. students than Canadian students. Is this an example of a survey research design?
The business objective of the director of Game Ghana is to forecast monthly sales for all new stores, based on the number of profiled customers who live no more than 30 minutes from a Game store. To examine the relationship between the number of profiled customers who live within a fixed radius from a Game store and it monthly sales, data were collected from a sample of 10 stores:Store 1 2 3 4 5 6 7 8 9 10No of customers (‘000)5728432453 Monthly Sales (‘000)81261487910128(a) Use the least-squares method to compute the regression coefficients ? ??? ?(b) Write down the estimated equation and predict the monthly sales if there are 9000 customers(c) Determine the coefficient of determination, r2 and explain its meaning in this problem(d) Determine the value of the extent of relationship between monthly sales and number of customers, and interpret your results.
In the book Business Research Methods (5th ed.), Donald R. Cooper and C. William Emory discuss studying the relationship between on-the-job accidents and smoking. Cooper and Emory describe the study as follows: Suppose a manager implementing a smoke-free workplace policy is interested in whether smoking affects worker accidents. Since the company has complete reports of on-the-job accidents, she draws a sample of names of workers who were involved in accidents during the last year. A similar sample from among workers who had no reported accidents in the last year is drawn. She interviews members of both groups to determine if they are smokers or not. The sample results are given in the following table. On-the-Job Accident Smoker Yes No Row Total Heavy 12 5 17 Moderate 9 10 19 Nonsmoker 13 17 30 Column total 34 32 66 Expected counts are below observed counts Accident No Accident Total Heavy 12 5 17 8.76 8.24…
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6. In the book Business Research Methods (5th ed.), Donald R. Cooper and C. William Emory discuss studying the relationship between on-the-job accidents and smoking. Cooper and Emory describe the study as follows: Suppose a manager implementing a smoke-free workplace policy is interested in whether smoking affects worker accidents. Since the company has complete reports of on-the-job accidents, she draws a sample of names of workers who were involved in accidents during the last year. A similar sample from among workers who had no reported accidents in the last year is drawn. She interviews members of both groups to determine if they are smokers or not. The sample results are given in the following table.
Under what circumstances is it advisable to switch to a between-subjects design instead of using a within-subjects design?
In a study of whether taking a garlic supplement reduces the risk of getting a cold, participants were assigned to either a garlic supplement group or to a group that did not take a garlic supplement.† Based on the study, it was concluded that the proportion of people taking a garlic supplement who get a cold is lower than the proportion of those not taking a garlic supplement who get a cold. Do you think that the study was conducted in a reasonable way? What additional information would you want in order to evaluate this study? (Select all that apply.) A) whether the patients knew which treatment they were receiving B) whether the patients were randomly assigned to the treatments C) whether the patient's last name started with A through M D) whether the patient's cold lasted more than a week E) whether the experiment was conducted on a sufficient number of patients so that the differences observed could not be attributed to chance
The paper “Contemporary College Students and Body Piercing” (Journal of Adolescent Health [2004]: 58-61) described a survey of 450 undergraduate students at a state university in the southwest region of the United States. Each student in the sample was classified according to class standing (freshman, sophomore, junior, or senior) and body art category (body piercings only, tattoos only, both tattoos and body piercings, no body art). Use the data in the accompanying table to determine if there is evidence that there is an association between class standing and response to the body art question. Assume that it is reasonable to regard the sample of students as representative of the students at this university. Use α = .01.
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A sociologist wants to investigate the question, "Is there a relationship between texting during class and grade-point-average (GPA) among high school seniors in a large district?" Which study design is most appropriate? Before the semester starts, randomly select 40 seniors from each high school who do not text during class. Assign 20 to the texting treatment group (text three or more times during every class meeting) and 20 to the control group (no texting during class). At the end of the semester, obtain each student’s GPA from the appropriate admissions and records office. Compare the GPA of students who routinely text during class to the GPA of students who do not text during class. Before the semester starts, randomly select 40 seniors from each high school who do not text during class. Assign 20 to the texting treatment group (text three or more times during every class meeting) and 20 to the control group (no texting during class). At the end of the semester,…
The table below summarizes data from a survey of a sample of women. Using a 0.01 significance level, and assuming that the sample sizes of 900 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women?
The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 900 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 532 349 Women who disagree 368 51 Identify the null and alternative hypotheses. Compute the test statistic. Find the critical value(s). What is the conclusion based on the hypothesis test? Reject or fail to reject? Is there sufficient evidence? Does it appear that the gender of the interviewer affected the responses of women?