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Guilt in decision making. The effect of guilt emotion on how a decision maker focuses on the problem was investigated in the Journal of Behavioral Decision Making (January 2007). A total of 171 volunteer students participated in the experiment, where each was randomly assigned to one of three emotional states (guilt, anger, or neutral) through a reading/writing task. Immediately after the task, the students were presented with a decision problem (e.g., whether or not to spend money on repairing a very old car). The researchers found that a higher proportion of students in the guilty-state group chose to repair the car than those in the neutral-state and anger-state groups.

a. Identify the population, sample, and variables measured for this study.

b. Identify the data-collection method used.

c. What inference was made by the researcher?

d. In later chapters you will learn that the reliability of an inference is related to the size of the sample used. In addition to sample size, what factors might affect the reliability of the inference drawn in this study?

Short Answer

Expert verified

a. Population is the students, the sample size is 171, and the variables are guilt, anger, and neutral.

b. Reading and writing tasks

c. Compared to the other two groups, maximum students belonging to the guilty-state group chose for repairing the car.

d. Sample size and the presence of sampling errors.

Step by step solution

01

Identifying of population, sample, and variables

The total number of students is the total population, out of which171have been selected by the researchers. This is the sample. The variables are the emotional states:guilt, anger, and neutral.

02

Determining the data-collection method

After randomly selecting 171 students from the group of students, for collecting the data, the researchers have made the studentsread and write certain specified things. The tasks were then meticulously examined by the researchers to find out which students would repair a car based on their emotions.

03

Indicating the inference

After meticulously conducting the research by the researchers, it has been deduced thatmaximum students of the guilt-state group will repair the cars. In the other groups, the number of students who chose to repair the cars is comparatively low.

04

Specifying the reliability of inference

Theinference is reliable because the sample size is very large than 30, and the sample size with more than 30 elements is often considered reliable. The researchers must note whether any errors have occurred while forming the sample or not. This relates to the concept that if the errors are more, the inference will not be considered reliable.

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Most popular questions from this chapter

Suppose you have to sort sample units into categories according to their region of origin. The regions are โ€œAfrica,โ€ โ€œAmericas,โ€ โ€œAsia,โ€ โ€œEurope,โ€ and โ€œOceania.โ€ For further analysis with a statistical software, you replace each region name with a numerical code: 1 for Africa, 2 for Americas, and so on. Are the data consisting of the region names qualitative or quantitative? Are the numerical codes qualitative or quantitative? Explain your answer.

Consumer recycling behavior. Under what conditions will consumers dispose of recyclable paper in the garbage? This was the question of interest in an article published in the Journal of Consumer Research (December, 2013). In one of the studies conducted, the researchers instructed 78 college students to cut an 8.5-ร—11-inch sheet of paper into eight smaller pieces. Half the students were randomly assigned to list five uses for the cut paper (usefulness is salient condition). The students in the other half were asked to list their five favorite TV shows (control condition). After completing an unrelated task, all students were asked to dispose of the paper upon leaving. There was a trash bin and a recycling bin outside the door. The researchers kept track of which students recycled and which students disposed of their paper in the garbage. This information was used to test the theory that students in the usefulness is salient condition will recycle at a higher rate than students in the control condition.

a. Explain why the data-collection method used in this study is a designed experiment.

b. Identify the experimental unit in this study.

c. Identify the variables measured in this study. What data type (quantitative or qualitative) is produced from each variable? (Hint: Two variables are measured.)

d. About 68% of the students in the usefulness is recycled, compared to 37% of students in the control condition. Use this information to make an inference about the population of interest.

List and define the five elements of an inferential statistical analysis.

Monitoring the production of soft-drink cans. The Wakefield plant of Coca-Cola and Schweppes Beverages Limited (CCSB) can produce 4,000 cans of soft drink per minute. The automated process consists of measuring and dispensing the raw ingredients into storage vessels to create the syrup and then injecting the syrup, along with carbon dioxide, into the beverage cans. In order to monitor the sub process that adds carbon dioxide to the cans, five filled cans are pulled off the line every 15 minutes, and the amount of carbon dioxide in each of these five cans is measured to determine whether the amounts are within prescribed limits.

a. Describe the process studied.

b. Describe the variable of interest.

c. Describe the sample.

d. Describe the inference of interest.

e. Brix is a unit for measuring sugar concentration. If a technician is assigned the task of estimating the average brix level of all 240,000 cans of beverage stored in a warehouse near Wakefield, will the technician be examining a process or a population? Explain.

Question: Performance-based logistics. In industry, performance-based logistics (PBL) strategies are increasingly popular ways to reduce cost, increase revenue, and attain customer satisfaction. The Journal of Business Logistics (Vol. 36, 2015) used the opinions of a sample of 17 upper-level employees of the U.S. Department of Defense and its suppliers to determine the factors that lead to successful PBL projects. The current position (e.g., vice president, manager [mgr.]), type of organization (commercial or government), and years of experience were measured for each employee interviewed. These data are listed below. Identify each variable measured as producing quantitative or qualitative data.

Interviews

Position

Organization

Experience (years)

1

Vice president

Commercial

30

2

Post production

Government

15

3

Analyst

Commercial

10

4

Senior mgr.

Government

30

5

Support chief

Commercial

30

6

Specialist

Government

25

7

Senior analyst

Government

9

8

Division chief

Government

6

9

Item mgr.

Government

3

10

Senior mgr.

Government

20

11

MRO mgr.

Government

25

12

Logistics mgr.

Government

30

13

MRO mgr.

Commercial

10

14

MRO mgr.

Commercial

5

15

MRO mgr.

Commercial

10

16

Specialist

Government

20

17

Chief

Government

25

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