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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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PROBLEMS 481

15. Research results indicate that 5-year-old children who

watched a lot of educational programming such as

Sesame Street and Mr. Rogers had higher high-school

grades than their peers (Anderson, Huston, Wright, &

Collins, 1998). The same study reported that 5-yearold

children who watched a lot of non-educational TV

programs had relatively low high-school grades compared

to their peers. A researcher attempting to replicate

this result using an independent-measures study

with four separate groups of high school students

obtained the following data. The dependent variable

is a rating of high school academic performance, with

higher scores indicating higher levels of performance.

a. Use a two-factor ANOVA with α = .01 to evaluate

the main effects and interaction.

b. Calculate the effect size (η 2 ) for the main effects

and the interaction.

c. Briefly describe the outcome of the study.

Educational TV

Non-educational

TV

Little Watching

Substantial

Watching

1 6

5 6

4 4

3 5

2 4

M = 3

SS = 10

M = 5

SS = 4

5 0

1 0

5 1

3 3

1 1

M = 3

SS = 16

M = 1

SS = 6

N = 20 G = 60 ΣX 2 = 256

16. Some people like to pour beer gently down the side of

the glass to preserve bubbles. Others, splash it down

the center to release the bubbles into a foamy head and

free the aromas. Champagne, however, is best when

the bubbles remain concentrated in the wine. A group

of French scientists recently verified the difference

between the two pouring methods by measuring the

amount of bubbles in each glass of champagne poured

two different ways and at three different temperatures

(Liger-Belair et al., 2010). The following data present

the pattern of results obtained in the study.

Gentle

Pour

Splashing

Pour

Champagne Temperature (°F)

40° 46° 52°

n = 10 n = 10 n = 10

M = 7 M = 3 M = 2

SS = 64 SS = 57 SS = 47

n = 10 n = 10 n = 10

M = 5 M = 1 M = 0

SS = 56 SS = 54 SS = 46

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

the mean differences.

b. Briefly explain how temperature and pouring influence

the bubbles in champagne according to this

pattern of results.

17. The following table summarizes the results from a

two-factor study with 2 levels of factor A and 4 levels

of factor B using a separate sample of n = 5 participants

in each treatment condition. Fill in the missing

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

Source SS df MS

Between treatments _____ _____

Factor A 20 _____ _____ F = _____

Factor B _____ _____ 12 F = _____

A × B Interaction _____ _____ 6 F = _____

Within treatments 64 _____ _____

Total _____ _____

18. The following table summarizes the results from a

two-factor study with 2 levels of factor A and 3 levels

of factor B using a separate sample of n = 8 participants

in each treatment condition. Fill in the missing

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

Source SS df MS

Between treatments 72 _____

Factor A _____ _____ _____ F = _____

Factor B _____ _____ _____ F = 6.0

A × B Interaction _____ _____ 12 F = _____

Within treatments 126 _____ _____

Total _____ _____

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