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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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338 CHAPTER 11 | The t Test for Two Related Samples

in the samples must be matched one-to-one before you can use the statistical techniques

in this chapter.

TABLE 11.1

An example of the data from a repeated-measures or a matched-subjects

study using n 5 5 participants (or matched pairs).

Participant or

Matched Pair

First

Score

Second

Score

#1 12 15 d the 2 scores for

#2 10 14 one participant or

#3 15 17 one matched pair

#4 17 17

#5 12 18

Now we will examine the statistical techniques that allow a researcher to use the

sample data from a repeated-measures study to draw inferences about the general

population.

LEARNING CHECK

1. A researcher conducts an experiment comparing two treatment conditions and

obtains 20 scores in each treatment. Which design would require the smallest

number of subjects?

a. a repeated-measures design

b. an independent-measures design

c. a matched-subjects design

d. either an independent-measures or a matched-subjects design

2. For an experiment comparing two treatment conditions, an independent-measures

design would obtain ____ score(s) for each subject and a repeated-measures design

would obtain ____ score(s) for each subject.

a. 1, 1

b. 1, 2

c. 2, 1

d. 2, 2

3. For a research study comparing two treatments with n = 10 scores in each

treatment, which design would require the largest number of participants?

a. repeated-measures

b. independent-measures

c. matched-subjects

d. independent-measures or match-subjects (both use the same number)

ANSWERS

1. A, 2. B, 3. D

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