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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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342 CHAPTER 11 | The t Test for Two Related Samples

error, the first step is to compute the variance (or the standard deviation) for the sample of

D scores.

s 2 5

SS

n 2 1 5 SS or s

df

5Î SS

df

The estimated standard error is then computed using the sample variance (or sample standard

deviation) and the sample size, n.

s

MD

s2

n

or s

MD

5

s

Ïn

(11.3)

The following example is an opportunity to test your understanding of variance and

estimated standard error for the repeated-measures t statistic.

EXAMPLE 11.1

A repeated-measures study with a sample of n = 8 participants produces a mean difference

of M D

= 5.5 points with SS = 224 for the difference scores. For these data, find the variance

for the difference scores and the estimated standard error for the sample mean. You

should obtain a variance of 32 and an estimated standard error of 2.

Notice that all of the calculations are done using the difference scores (the D scores) and

that there is only one D score for each subject. With a sample of n participants, the number

of D scores is n, and the t statistic has df = n − 1. Remember that n refers to the number

of D scores, not the number of X scores in the original data.

You should also note that the repeated-measures t statistic is conceptually similar to the

t statistics we have previously examined:

sample statistic 2 population parameter

t 5

estimated standard error

In this case, the sample data are represented by the sample mean of the difference scores

(M D

), the population parameter is the value predicted by H 0

(μ D

= 0), and the amount of

sampling error is measured by the standard error of the sample mean (s

MD

).

LEARNING CHECK

1. For the following data from a repeated-measures study, what is the sum of the

squared deviations (SS) for the difference scores? I II

a. 54

4 8

b. 18

9 3

c. 12

6 7

d. 0

8 9

2. For a repeated-measures hypothesis test, which of the following is the correct statement

of the alternative hypothesis (H 1

)?

a. For the individuals in the entire population there is no consistent difference

between the two treatments.

b. For the individuals in the entire population there is a consistent difference

between the two treatments.

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