Scenario 1: A local high school wants to see how their AP Psychology exam scores compare to the AP Psychology exam scores for the whole country.

1.What is the most appropriate test statistic to use to test the hypothesis in scenario 1?

A. One sample z-test

B. Correlation coefficient

C. Independent samples t-test

D. One way ANOVA

E. Dependent samples t test

F. Regression

G. Z-score

2. What is the null hypothesis for scenario 1?

A. H0: X (population) (sample)

B. H0: X (sample) = (population)

C. H0: X (sample) > (population)

D. H0: m1 (sample) m2 (population)

E. r > 0

F. H0: X1 (sample) = X2 (population) = X3 (control)

3. What is the alternative hypothesis for scenario 1?

A. H1: X

B. H1: m1 < m2

C. H1: X1 X2 X3

D. r 0

Scenario 2. A researcher is interested in examining how a new exercise program aimed at body positivity can influence teenagers' self-esteem. She randomly assigns teenagers to either engage in the new exercise program for 8 weeks (the experimental group) or to a control group that does not do the program and then compares their self-esteem.

4. What is the most appropriate test statistic to use to test the hypothesis in scenario 2?

A. Dependent samples t-Test

B. One-way ANOVA

C. z-score

D. Independent samples t-Test

E. Factor Analysis

F. Correlation Coefficient

G. Structural Equation Model

H. z-test

5. What is the null hypothesis for scenario 2?

A. H₀: self esteem in the experimental group = self esteem in the control group B. H₀: self esteem in the experimental group > self esteem in the control group

C. H₀: self esteem in the experimental group self esteem in the control group

D. H₀: 1(group that does the new program) = 2(control group 1) =3(control group 2)

E. H₀: self esteem in the experimental group < self esteem in the control group

F. H₀: r_xy = 0

6. What is the alternative hypothesis for scenario 2?

A. H₁: self esteem in the experimental group > self esteem in the control group

B. H₁: self esteem in the experimental group self esteem in the control group

C. H₁: self esteem in the experimental group = self esteem in the control group

D. H1: rxy = 0

E. H1: 1(experimental group) 2(control group 1)3(control group 2)

F. H₁: self esteem in the experimental group < self esteem in the control group

7. What is the independent variable for scenario 2?

A. The body-positive exercise program

B. There is no IV for this type of analysis

C. The participants

D. Self esteem

E. The researchers

8. What is the dependent variable for scenario 2?

A. The researchers

B. The participants

C. There is no DV for this type of analysis

D. Self esteem

E. The body-positive exercise program

Scenario 3. A manager at a large company wants to know if there is an association between time spent on zoom and ratings of happiness among employees who work from home.

9. What is the most appropriate test statistic to use to test the hypothesis in scenario 3?

A. F-test

B. One sample z-Test

C. Z-score

D. One-way ANOVA

E. Regression Analysis

F. Correlation Coefficient

G. Independent samples t-Test

H. P-test

I. Dependent samples t-Test

10. What is the independent variable for scenario 2?

A. There is no IV for this type of analysis

B. Happiness

C. The type of job they have

D. The participants' workload

E. Time spent on zoom

Scenario 4. A researcher wants to explore whether stress increases after experiencing sleep deprivation. She measures participants stress levels before and after staying up for one night.

11. What is the most appropriate test statistic to use to test the hypothesis in scenario 4?

A. Regression Analysis

B. T-test for the significance of the correlation coefficient

C. One-way ANOVA

D. Correlation Coefficient

E. Z-score

F. Dependent samples t-Test

G. P-test

H. F-test

I. Independent samples t-Test

J. One sample Z-test

12. What is the null hypothesis for scenario 4?

13. What is the alternative hypothesis for scenario 4?

14. What is the independent variable for scenario 4?

15. What is the dependent variable for scenario 4?

Scenario 5. A researcher is interested in examining how different employee-morale boosting activities can influence employee job satisfaction. She randomly assigns different companies to provide one of three possible activities: an employee appreciation lunch, free coffee every Wednesday for a month, or a 20-minute extended lunch break every Friday for a month and then compares employee satisfaction rates between the three companies.

16. What is the most appropriate test statistic to use to test the hypothesis in scenario 5?

A. Independent samples t-Test

B. Regression Analysis

C. One-way ANOVA

D. One sample Z-Test

E. Z-score

F. Correlation Coefficient

G. Dependent samples t-Test

H. P-test

17. What is the null hypothesis for scenario 5?

A. H_O: 1(lunch) = 2(coffee) =3(extended break)

B. H₀: 1coffee = 2extended lunch

C. H₀: Mcoffee= lunch

D. H_O: posttestA = pretestB

E. H0: 1coffee 2extended lunch

F. H₀: rxy = 0

G. H₀: 1coffee 2extended lunch

18. What is the alternative hypothesis for scenario 5?

19. What is the independent variable for scenario 5?

A. The size of the company

B. Employee job satisfaction

C. The participants

D. How many years participants have been working at that job

E. The type of morale-boosting activity

F. The type of work the employees do @ the company

20. What is the dependent variable for scenario 5?

A. The size of the company

B. Employee job satisfaction

C. The participants

D. The type of work the employees do @ the company

E. The type of morale-boosting activity

F. How many years participants have been working at that job

21. Come up with your own study idea, just like the scenarios you see in the questions above. Explain the study (just like in scenarios above), and then tell me the following information for your study. Make sure this is your own original study idea!

IV:

DV:

Null Hypothesis:

Alternative Hypothesis:

Type of Analysis you would use to test the hypothesis in your study:

22. Now, pretend you actually ran the study you came up with. Make up the results (the test statistic values, means and SDs), and write up the results as you would see them in an A P A s t y l e research paper. Note, you do not actually have calculations here! You just need to make up the means and sds for each group, the test statistic value, and the p value and write out the results. You can use the answers to the write up questions on the previous 4 assignments as a template for this!