Scenario 1: A researcher is interested in studying whether a company’s sick day policies can influence the extent to which employees will be honest about being sick before coming to work (that is, whether they will lie about being sick to avoid missing work). The researcher chooses three companies that require employees to log their temperature each day before coming into work, and they are not allowed to come in if they have a fever. She randomly assigns company A to adopt a sick policy in which employees are limited to 5 days off per year for fever-related illness, Company B to adopt a sick day policy in which they are given 10 days off for fever-related illness, and Company C to adopt a sick day policy in which they are given unlimited days off for fever-related illness. She then asks employees to anonymously report the number of days they lied about their temperature and came to work with a fever. She believes that employees in company C, where there are unlimited days off for fever-related illness, are more likely to honest about their health conditions before coming to work, than those who have stricter policies.
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Question 1 0.5 pts
What is the null hypothesis for scenario 1?
Group of answer choices
HO: µposttestA = µpretestB
H0: XCompanyA = µCompanyB
H0: µ1CompanyB = µ2CompanyC
HO: µ1(companyA) = µ2(CompanyB) =µ3(CompanyC)
H0: rxy = 0
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Question 2 0.5 pts
What is the alternative hypothesis for scenario 1?
Group of answer choices
H1: µ ≠ x
H1: rxy = 0
H1: µ1 ≠ µ2
H1: µ1 ≠ µ2 ≠µ3
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Question 3 0.5 pts
What is the independent variable for scenario 1?
Group of answer choices
Logging their temperature before work
Number of days employees lied about fevers
The employees
There is no independent variable in this study
Company sick day policy (5 days vs 10 days vs unlimited)
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Question 4 1 pts
What is the dependent variable for scenario 1?
Group of answer choices
Company sick day policy (5 days vs 10 days vs unlimited)
Logging their temperature before work
Number of days employees lied about fevers
There is no dependent variable in this study
The employees
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Question 5 1 pts
What is the most appropriate test statistic to use to test the hypothesis in scenario 1?
Group of answer choices
independent samples t-test
z-score
correlation coefficient
z-test
regression
dependent samples t test
one way ANOVA
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The following question is based on scenario 2: A researcher is interested in studying how time spent on social media can influence how frequently teenagers exercise. She expects that the more students exercise, the less time they will spend on social media.
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Question 6 1 pts
What is the best statistical test to use to analyze the hypothesis in scenario 2?
Group of answer choices
Correlation Coefficient
Dependent samples t-Test
z-test
One-way ANOVA
Structural Equation Model
z-score
Factor Analysis
Independent samples t-Test
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Scenario 3. A researcher is interested in examining whether a new intensive 4-week diet program leads to weight loss. She measures participant weight before and after they participate in the program.
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Question 7 0.5 pts
Which of the following is the null hypothesis for scenario 3?
Group of answer choices
weight before the program < weight after the program
weight before the program
≠
≠
≠
≠
weight after the program
weight before the program
≤
≤
≤
≤
weight after the program
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Question 8 0.5 pts
Which of the following is the alternative hypothesis for scenario 3?
Group of answer choices
weight before the program = weight after the program
weight before the program > weight after the program
weight before the program weight after the program
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Question 9 1 pts
What is the best statistical test to use to test the hypothesis in scenario 3?
Group of answer choices
T-test for the significance of the correlation coefficient
Independent samples t-Test
Correlation Coefficient
F-test
P-test
One-way ANOVA
z-Test
Dependent samples t-Test
z-score
Regression Analysis
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Scenario 4. A university believes that their graduating students who took the GRE this year (the Graduate Record Exam, which is a standardized test for applying to certain graduate schools) earned significantly higher scores than graduating seniors in the rest of the U.S. They decide to test this hypothesis.
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Question 10 0.5 pts
What is the alternative hypothesis for scenario 4?
Group of answer choices
H1: X1 ≠ X2 ≠ X3
r ≠ 0
H1: X ≠ µ
H1: m1 < m2
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Question 11 1 pts
What is the appropriate test statistic to use for scenario 4?
Group of answer choices
regression
dependent samples t-test
correlation coefficient
One-way ANOVA
independent samples t-test
z-test
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Scenario 5. Researchers are interested in examining whether the amount of “screen time” (time spent on tablets, phones, computers, or watching television) children get each day can influence their sleep quality. She randomly assigns a group of 8-year-olds to either have 1 hour of screen time, or 4 hours of screen time in one day. She then measures their sleep quality that night. She expects that the group with more screen time will have worse sleep quality than the group 1 hour of screen time.
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Question 12 1 pts
What is the independent variable for scenario 5?
Question 13 1 pts
What is the dependent variable for scenario 5?
Question 14 1 pts
What is the appropriate test statistic to use for scenario 5?
Question 15 2 pts
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:
Question 16 2 pts
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.
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