Question 1

Select one answer.

10 points

At the beginning of the semester, students who registered for a statistics course were randomly assigned to two sections, each taught by a different instructor. At the end of the semester, we would like to test whether there are differences in performance on the final exam between the two sections.

1. (a) matched pairs t-test

2. (b) two-sample t-test

3. (c) ANOVA

4. (d) chi-squared test for independence

5. (e) inference for regression

Question 2

Select one answer.

10 points

Advertising researchers claim that the power of curiosity can be harnessed to design an effective Internet advertising strategy that results in a better evaluation of the advertised product. They develop six advertising texts with varying amounts of "curiosity" triggers. College students are randomly assigned to one of the six versions of the advertisement text and their evaluation score of the advertised product is recorded.

1. (a) matched pairs t-test

2. (b) two-sample t-test

3. (c) ANOVA

4. (d) chi-squared test for independence

5. (e) inference for regression

Question 3

Select one answer.

10 points

A physical therapy researcher was interested in determining the impact of two different exercises. The investigator suspected that the two exercises produced a different level of activity in the muscle. Each of 16 subjects performed both exercise 1 and exercise 2, and the results are shown (for each subject, the order of the exercises was randomly assigned and sufficient rest time was provided between the two exercises).

1. (a) matched pairs t-test

2. (b) two-sample t-test

3. (c) ANOVA

4. (d) chi-squared test for independence

5. (e) inference for regression

Question 4

Select one answer.

10 points

We select random samples from several racial categories (Caucasian, African-American, Hispanic, Asian-American) to determine if there is a difference in overall mean earnings among the groups.

1. (a) matched pairs t-test

2. (b) two-sample t-test

3. (c) ANOVA

4. (d) chi-squared test for independence

5. (e) inference for regression

Question 5

Select one answer.

10 points

We want to test for a relationship between race and marital status (married/never married/divorced/widowed).

1. (a) matched pairs t-test

2. (b) two-sample t-test

3. (c) ANOVA

4. (d) chi-squared test for independence

5. (e) inference for regression

The next three questions refer to the following information:

A researcher wants to explore the relationship between the following two variables, Weight 1 and Weight 2.

For each question below, choose the most appropriate inference method to analyze these data, under the given scenarios.

Question 6

Select one answer.

10 points

Suppose that Weight 1 is the weight (in pounds) of a sample of five individuals before beginning a weight-loss diet, and Weight 2 is the weight in (pounds) of the same five individuals after the diet. If we would like to test the effectiveness of the diet, which of the following is the appropriate inference method?

1. (a) matched pairs

2. (b) two independent samples

3. (c) inference for regression

Question 7

Select one answer.

10 points

In preparing for a balsa wood bridge challenge, students weighed (in g) a random sample of five balsa wood designs and recorded these data as Weight 1. They also recorded the maximum weight (in kg) that the bridge could support. If the students want to know if there is an association between the weight of the bridge (in g) and the maximum weight supported (in kg), which of the following is the appropriate inference method?

1. (a) matched pairs

2. (b) two independent samples

3. (c) inference for regression

Question 8

Select one answer.

10 points

If Weight 1 is the weight (in pounds) of a random sample of five men who were accepted as models, and Weight 2 is the weight (in pounds) of a random sample of five men who were rejected as models, which of the following is the appropriate inference method?

1. (a) matched pairs

2. (b) two independent samples

3. (c) inference for regression

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