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Statistics for the Behavioral Sciences by Frederick J. Gravetter, Larry B. Wallnau ISBN 10: 1305504917 ISBN 13: 9781305504912

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

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482 CHAPTER 14 | Two-Factor Analysis of Variance (Independent Measures)

19. The following table summarizes the results from a

two-factor study with 2 levels of factor A and 2 levels

of factor B using a separate sample of n = 15 participants

in each treatment condition. Fill in the missing

values. (Hint: Start with the df values.)

Source SS df MS

Between treatments _____ _____

Factor A 16 _____ _____ F = 8

Factor B _____ _____ _____ F = 12

A × B Interaction _____ _____ _____ F = 6

Within treatments _____ _____ _____

Total _____ _____

20. The following data are from a two-factor study examining

the effects of two treatment conditions on males

and females.

a. Use an ANOVA with α = .05 for all tests to evaluate

the significance of the main effects and the

interaction.

b. Compute η 2 to measure the size of the effect for

each main effect and the interaction.

Factor A:

Gender

male

Female

Treatments

I

II

3 2

8 8

9 7

4 7

T male

= 48

M = 6 M = 6

T = 24 T = 24

SS = 26 SS = 22

0 12

0 6

2 9

6 13

M = 2 M = 10

T = 8 T = 40

SS = 24 SS = 30

T I

= 32 T II

= 64

T female

= 48

N = 16

G = 96

ΣX 2 = 806

Male

Factor A:

Gender

Female

b. Test the simple main effects using α = .05 to

evaluate the mean difference between males and

females for each of the three treatments.

Treatments

I II III

1 7 9

2 2 11

6 9 7 T male

= 54

M = 3 M = 6 M = 9

T = 9 T = 18 T = 27

SS = 14 SS = 26 SS = 8 N = 18

G = 144

3 10 16

ΣX 2 = 1608

1 11 18

5 15 11

M = 3 M = 12 M = 15

T female

= 90

T = 9 T = 36 T = 45

SS = 8 SS = 14 SS = 26

22. The following data are representative of many studies

examining the relationship between arousal and

performance. The general result of these studies is

that increasing the level of arousal (or motivation)

tends to improve the level of performance. (You

probably have tried to “psych yourself up” to do well

on a task.) For very difficult tasks, however, increasing

arousal beyond a certain point tends to lower the

level of performance. (Your friends have probably

advised you to “calm down and stay focused” when

you get overanxious about doing well.) This relationship

between arousal and performance is known as the

Yerkes-Dodson law.

a. Use a two-factor ANOVA with α = .05 to evaluate

the significance of the main effects and the

interaction.

b. Calculate the η 2 values to measure the effect size

for the two main effects.

c. Describe the pattern of results. How does the level

of arousal (motivation) affect performance?

21. The following data are from a two-factor study

examining the effects of three treatment conditions on

males and females.

a. Use an ANOVA with α = .05 for all tests to evaluate

the significance of the main effects and the

interaction.

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