Question

Questions 14-18 are based on Scenario 4. A researcher is interested in studying how exposure to...

Questions 14-18 are based on Scenario 4. A researcher is interested in studying how exposure to blue spectrum light (the light emitted from smartphones and other technology devices) can influence sleep quality. She randomly assigns one group of participants to use no technology before bed for 1 week, and a second group of participants to look at a smartphone or tablet for 1 hour before bed for 1 week, and a third group to read a book for 1 hour before bed for 1 week. She compares the groups on their sleep quality and expects that the group that uses technology before bed will sleep significantly worse than the other two groups.

Question 14

What is the null hypothesis for scenario 4?

Group of answer choices

H0: µ1 = µ2 =µ3

H0: r = 0

H0: X = µ

H0: µposttest = µpretest

Question 15

What is the alternative hypothesis for scenario 4?

Group of answer choices

H1: µ1 ≠ µ2 ≠µ3

H1: Rxy > 0

H1: X ≠ µ

H1: µposttest ≠µpretest

Question 16

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

Group of answer choices

factorial ANOVA

dependent samples t test

independent samples t-test

one way ANOVA

regression

z-score

correlation coefficient

z-test

Question 17

What is the independent variable for scenario 4?

Group of answer choices

Amount of exposure to light (technology) before bed

The amount of time they engage in the bedtime routine (1 hour)

Sleep quality

The length of the study (1 week)

There is no independent variable (because the study is correlational)

Question 18

What is the dependent variable for scenario 4?

Group of answer choices

Amount of exposure to technology before bed

The length of the study (1 week)

There is no dependent variable (because the study is correlational

Sleep quality

The amount of time they engage in the bedtime routine (1 hour)

Questions 19-23 are based on Scenario 5. A researcher is interested in studying whether a company’s sick day policies can influence how much employees feel motivated to work hard. They randomly assign company A to adopt a sick day policy in which employees are given at total of 15 sick days that they may use at any point during the year without question or documentation required, and Company B to adopt a policy in which they are given up to 15 sick days, but they must provide a doctor’s documentation of their illness in order to be able to take the day off. The researcher believes that employees at company A, with the more lenient “no questions asked” policy will feel more motivated to work hard than those at company B, with the stricter sick day policy.

Question 19

What is the alternative hypothesis for scenario 5?

Group of answer choices

H1: m CompanyA ≠ m CompanyB

H1: µ1 = µ2 =µ3

H1: rxy ≠ 0

H1: m companyA > m CompanyB

H1: m CompanyA < m CompanyB

Question 20

What is the independent variable for scenario 5?

Group of answer choices

Employee motivation to work hard

The type of company they work for

The participants

The number of days employees get off each year

There is no independent variable (because it is a correlational study)

Type of sick day policy

Question 21

What is the dependent variable for scenario 5?

Group of answer choices

The type of company they work for

Type of sick day policy

The number of days employees get off each year

Employee motivation to work hard

There is no dependent variable (because it is a correlational study)

Question 22

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

Group of answer choices

independent samples t-test

z-score

one-way ANOVA

correlation coefficient

dependent samples t-test

z-test

regression

23. Imagine that you actually did the study in scenario 5. Write up the results as you would see it in an APA results section of an empirical article (you can make up the values for your statistical test, means, and standard deviations here).

Homework Answers

Answer #1

14] H0: µ1 = µ2 =µ3

15] H1: µ1 ≠ µ2 ≠µ3

16] One way anova test is best because we have three independent groups

17]Independent varibale is The amount of time they engage in the bedtime routine (1 hour).

18] Dependent variable is Sleep quality.

19] Alternative Hypothesis is H1: m companyA > m CompanyB

20] Independent variable is Type of sick day policy

21] Dependent variable is Employee motivation to work hard.

22] independent samples t-test because both groups are independent to each other .

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