Statistical Short Anwsers

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Questions.docx

1. Jerry finds that there is a significant correlation of r = 0.38 between extraversion and the

number of hours of exercise a person gets a week. He is interested in whether he can

predict a person's extraversion (as measured by their scores on a Likert scale from 1-10) from

the number of hours of exercise a person gets a week. He collects a sample of n = 40. The

mean number of hours of weekly exercise is 3.45 and the variance is 23.14. The mean level of

extraversion is 5.61 and the variance is 6.55.

a. What would be the predicted extraversion score for someone with 2.5 hours of weekly

exercise?

b. Jerry's friend, Joanne, is a professional trainer and gets 60 hours of exercise a week. She asks

Jerry whether his linear regression could predict her extraversion score. What might be som

issues with predicting Joanne's score from the current data?

2. The data below was obtained from items on a happiness questionnaire.

a. What is the name of the data structure above? What information does it have?

b. Why some information are missing?

c. If you ran an item reliability statistic analysis for this, what would you expect to find? Why?

1618328716(1)

3. (10 pts)

Solve the research problem using the logic of hypothesis testing. You must (a) label all steps of your test, and (b) show all work (including computations).

DO need to formally use APA-7 report your findings, as well as perform relevant post hoc and effect size computations.A researcher wants to examine whether there is a relationship between the number of hours per week children spend watching violent content on television and engaging in violent behaviour with peers (assume this is on an interval scale). Using the data shown below,compute the appropriate statistic (a = .01).

Hours of TV

Violent Behaviour

2

3

3

1

6

5

4

4

5

2