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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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114 CHAPTER 4 | Variability

F I G U R E 4.5

The frequency distribution

histogram for a sample of

n 5 8 scores. The sample

mean is M 5 6.5. The smallest

distance from the mean

is 0.5 points, and the largest

distance from the mean

is 4.5 points. The standard

distance (standard deviation)

should be between 0.5 and

4.5 points, or about 2.5.

f

3

2

1

M = 6.5

1 2 3 4 5 6 7 8 9 10 11

1/

2

4.5

X

We begin the calculations by finding the value of SS for this sample. Because the mean

is not a whole number (M 5 6.5), the computational formula is easier to use. The scores,

and the squared scores, needed for this formula are shown in the following table.

Scores

X

Squared Scores

X 2

4 16

6 36

5 25

11 121

7 49

9 81

7 49

3 9

SX 5 52 SX 2 5 386

Using the two sums,

SS 5SX 2 2 (SX)2

n

5 386 2 s52d2

8

5 386 2 338

5 48

The sum of squared deviations for this sample is SS 5 48. Continuing the calculations,

sample variance 5 s 2 5

SS

n 2 1 5 48

8 2 1 5 6.86

Finally, the standard deviation is

s 5 Ïs 2 5 Ï6.86 5 2.62

Note that the value we obtained is in excellent agreement with our preliminary prediction

(see Figure 4.5).

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