Scenario 1. A researcher wants to know if there is an association between the amount of time spent sitting during the workday and feelings of well-being. She expects that spending more time sitting down is associated with lower feelings of well-being.

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

Regression Analysis

Correlation Coefficient

One-way ANOVA

Dependent samples t-Test

Independent samples t-Test

Z-score

P-test

F-test

One sample z-Test

2. What is the independent variable for scenario 1?

Time spent sitting down

Well-being

There is no IV for this type of analysis

The participants' workload

The type of job they have

Scenario 2. A researcher is interested in examining whether warning twitter users to check and make sure their post is accurate before they post will decrease the likelihood that they post inaccurate information. She randomly assigns participants to either receive a warning each time they post a tweet or to not receive this warning, and then measured the number of inaccurate tweets each participant posted. The researcher expects that those in the warning group will make fewer inaccurate posts than those in the no warning group.

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

Dependent samples t-Test

Correlation Coefficient

One-way ANOVA

Independent samples t-Test

Structural Equation Model

z-test

z-score

Factor Analysis

4. What is the null hypothesis for scenario 1?

H₀: inaccurate posts in warning group inaccurate posts in no warning group

H0: inaccurate posts in warning group inaccurate posts in no warning group

H0:inaccurate posts in warning group < inaccurate posts in no warning group

H0: inaccurate posts in warning group > inaccurate posts in no warning group

H₀: 1(warning) = 2(no warning) =3(control)

H₀: r_xy = 0

5. What is the alternative hypothesis for scenario 2?

H1: inaccurate posts in warning group > inaccurate posts in no warning group

H1: inaccurate posts in warning group inaccurate posts in no warning group

H1: inaccurate posts in warning group < inaccurate posts in no warning group

H1: 1(warning) 2(no warning) 3(control)

H1: rxy = 0

H1: inaccurate posts in warning group = inaccurate posts in no warning group

6. What is the independent variable for scenario 2?

The participants

There is no IV for this type of analysis

Whether or not the participants received a warning to check the accuracy of their posts before they posted

The researchers

The number of inaccurate posts they make

7. What is the dependent variable for scenario 2?

The participants

There is no DV for this type of analysis

Whether or not the participants received a warning to check the accuracy of their posts before they posted

The researchers

The number of inaccurate posts they make

Scenario 3: A university wants to see how the SAT scores for their new first-year students compare to the SAT scores for all first year college students in the whole country.

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

Correlation coefficient

One sample z-test

Regression

Dependent samples t test

Independent samples t-test

One way ANOVA

Z-score

9. What is the null hypothesis for scenario 3?

H0: X (population) (sample)

H0: m1 (sample) m2 (population)

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

r > 0

H0: X (sample) > (population)

H0: X (sample) = (population)

10. What is the alternative hypothesis for scenario 3?

H1: X1 X2 X3

H1: X

r 0

H1: m1 < m2

Scenario 4. A researcher wants to explore how mood changes before and after drinking a cup of coffee.

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

T-test for the significance of the correlation coefficient

Independent samples t-Test

Correlation Coefficient

Regression Analysis

F-test

One sample Z-test

P-test

Dependent samples t-Test

Z-score

One-way ANOVA

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 university is interested in comparing how students' grades differ between three different course modalities: hybrid, fully online, and face-to-face.

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

Z-score

Correlation Coefficient

One sample Z-Test

Independent samples t-Test

Dependent samples t-Test

One-way ANOVA

P-test

Regression Analysis

17. What is the null hypothesis for scenario 5?

H₀: 1fully online 2hybrid

H0: 1fully online 2hybrid

H₀: Mfully online= face-to-face

H_O: posttestA = pretestB

H₀: 1fully online = 2face-to-face

H₀: rxy = 0

H_O: 1(hybrid) = 2(fully online) =3(face-to-face)

18. What is the alternative hypothesis for scenario 5?

19. What is the independent variable for scenario 5?

The students

Student grades

The student's schedules

The type (modality) of the course

The student's major

The student's study habits

20. What is the dependent variable for scenario 5?

The students

Student grades

The student's major

The student's schedules

The type (modality) of the course

The student's schedules

The student's study habits

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.

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 APA style research paper. Note, you do not actually have to do any 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.