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7.A researcher is studying the influence of caffeine intake on heart rate across 4 groups of people: No caffeine, Low caffeine, Moderate caffeine, High caffeine.

7.A researcher is studying the influence of caffeine intake on heart rate across 4 groups of people:

No caffeine, Low caffeine, Moderate caffeine, High caffeine.

There are 10 people in each group. What is the DF withingroups?

a.There is not enough information to tell

b.37

c.36

d.44

8.The following is the results from an ANOVA:

"F(4,32)=4.55,p=.02.

How many groups were in this study?

a.3

b.5

c.there is no way to tell

d.4

9.The following is a statement of results from a ONEWAY ANOVA.

"F(3,42)=2.99,p=.02,etasquared = .20.

What does eta squared mean?

a.It means there is a 20%chance that we are in the null distribution

b.none of the answers are correct.

c.It means that 20%of the variation in the DV was accounted for by the IV

d.It means that 20%of the variation in the IV was accounted for by the DV.

10.A researcher is doing a study examining the influence of exercise on blood pressure. there are 4 groups, each with 7 people:

Yoga, Weight training, Walking, Aerobics.

SSbgis 30 andSSwgis 70. What is the effect size eta squared, and what does it mean?

a.Eta squared is .43,it means that 43%of the variation in blood pressure is accounted for by type of exercise.

b.Eta squared is .33.It means that 33percent of the variation in blood pressure is accounted for by exercise type.

c.Eta squared is .43.It means that F is not significant.

d.there is not enough information to answer this question.

11.A researcher does a study of the influence of major on GPA.

She examines4majors:Psychology,Art,Engineering,andChemistry.

There are 8 people in each group.

What is the critical F for this study at alpha = .05?

a.4.88

b.2.95

c.there is not enough information to tell

d.2.71

12.Can F ever be negative?

a.No,because it is based on variances, and variances are never negative

b.Yes,if the data set is negative

c.yes,if the SSwgis very large.

d.it depends on the type of hypothesis test

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