1. You must choose an SRS of 10 of the 440 retail outlets in New York that sell your company’s products. How would you label this population in order to use Table B?

A. 001, 002, 003, …, 439, 440

B. 000, 001, 002, …, 439, 440

C. 1, 2, …, 439, 440

A political scientist wants to know how college students feel about the Social Security system. She obtains a list of the 3456 undergraduates at her college and mails a questionnaire to 250 students selected at random. Only 104 questionnaires are returned.

2. What is the population in this study? Be careful: what group does she want information about?

A. The students who responded.

B. The students who were surveyed.

C. The entire student body.

D. All college students.

3. What is the sample? Be careful: from what group does she actually obtain information?

A. The students who responded.

B. The students who were surveyed.

C. The entire student body.

D. All university students.

4. In general, high perceived effort is an impediment to changes in behavior, whether it is modifying your diet or adopting an exercise routine. Yet little is known about how individuals estimate effort for a novel behavior. Researchers divide 40 students into two groups of 20. The first group reads instructions for an exercise program printed in an easy-to-read font (Arial, 12 point), and the second group reads identical instructions in a difficult-to-read font (Brush, 12 point). They estimated how many minutes the program would take (open-ended) and used a 7-point rating scale to report whether they were likely to make the exercise program part of their daily routine (7 = very likely). As hypothesized by the researchers, those reading about the exercise program in the more difficult-to-read font estimated that it would take longer and were less likely to make the exercise program part of their regular routine. Is this an experiment? What are the explanatory and response variables?

A. This is an experiment. The explanatory variable is the font. The response variables are then perceived effort (in minutes) and willingness.

B. This is not an experiment. The explanatory variable is the font. The response variables are then perceived effort (in minutes) and willingness.

C. This is an experiment. The explanatory variables are then perceived effort (in minutes) and willingness. The response variable is the font.

D. This is not an experiment. The explanatory variables are then perceived effort (in minutes) and willingness. The response variable is the font.

A department store mails a customer satisfaction survey to people who make credit card purchases at the store. This month, 45,000 people made credit card purchases. Surveys are mailed to 1000 of these people, chosen at random, and 137 people return the survey form.

5. What is the population for this survey?

A. All customers of the store.

B. All customers who made credit card purchases.

C. All customers who were surveyed.

D. All customers who responded.

6. What is the sample from which information was actually obtained?

A. All of the store’s customers.

B. All customers who made credit card purchases.

C. All customers who were surveyed.

D. All customers who returned the survey form

7. In 2010, a Quinnipiac University Poll and a CNN Poll each asked a nationwide sample about their views on openly gay men and women serving in the military.11 here are the two questions:

Question A: Federal law currently prohibits openly gay men and women from serving in the military. Do you think this law should be repealed or not?

Question B: Do you think people who are openly gay or homosexual should or should not be allowed to serve in the U.S. military?

One of these questions had 78% responding “should,” and the other question had

only 57% responding “should.” Which wording is slanted toward a more negative

response on gays in the military?

A. Question A

B. Question B

8. Measurements on young children in Mumbai, India, found this least-squares line for predicting height y from armspan x:

? = 6.4 + 0.93x

All measurements are in centimeters (cm). How much on the average does height increase for each additional centimeter of armspan?

A. 0.93 cm

B. 7.33 cm

C. 6.4 cm

9. By looking at the equation of the least-squares regression line in Exercise 5.22 (? = 6.4 + 0.93x), you can see that the correlation between height and armspan is

A. Can’t tell without seeing the data.

B. less than zero.

C. greater than zero.

10. In a study, fast-food menu items were analyzed for their fat content (measured in grams) and calorie content. The goal is to predict the number of calories in a menu item from knowing its fat content. The least-squares regression line was computed, and added to a scatterplot of the these data:

The equation of the least-squares regression line is:

Calories = 204 + 11.4 x (Fat)

The correlation between Calories and Fat is r = .979. Hence, r2 = .958.

Finally, the average number of calories in menu items is 663, and the average fat content in menu items is 40 grams.

The least-squares line would predict that a menu item with 40 grams of fat would have

A. 100 calories.

B. 456 calories.

C. 660 calories.

D. 204 calories.

11. In a study, fast-food menu items were analyzed for their fat content (measured in grams) and calorie content. The goal is to predict the number of calories in a menu item from knowing its fat content. The least-squares regression line was computed, and added to a scatterplot of the these data:

The equation of the least-squares regression line is:

Calories = 204 + 11.4 x (Fat)

The correlation between Calories and Fat is r = .979. Hence, r2 = .958.

Finally, the average number of calories in menu items is 663, and the average fat content in menu items is 40 grams.

Reference: Ref 5-1

The point indicated by * has

A. a positive value for the residual.

B. a negative value for the residual.

C. a zero value for the correlation.

D. a zero value for the residual.

12. In a study, fast-food menu items were analyzed for their fat content (measured in grams) and calorie content. The goal is to predict the number of calories in a menu item from knowing its fat content. The least-squares regression line was computed, and added to a scatterplot of the these data:

The equation of the least-squares regression line is:

Calories = 204 + 11.4 x (Fat)

The correlation between Calories and Fat is r = .979. Hence, r2 = .958.

Finally, the average number of calories in menu items is 663, and the average fat content in menu items is 40 grams.

Reference: Ref 5-1

A menu item’s fat content is

A. the slope.

B. the intercept.

C. the explanatory variable.

D. the response variable.

13. The least-squares regression line is

A. the line that passes through the most data points.

B. the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible.

C. the line such that half of the data points fall above the line and half fall below the line.

D. All answers are correct.