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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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SECTION 4.2 | Defining Standard Deviation and Variance 103

the range is 5 points. By this definition, when the scores are all whole numbers, the range

can be obtained by

X max

2 X min

1 1

Using either definition, the range is probably the most obvious way to describe how

spread out the scores are—simply find the distance between the maximum and the minimum

scores. The problem with using the range as a measure of variability is that it is

completely determined by the two extreme values and ignores the other scores in the distribution.

Thus, a distribution with one unusually large (or small) score will have a large range

even if the other scores are all clustered close together.

Because the range does not consider all the scores in the distribution, it often does not

give an accurate description of the variability for the entire distribution. For this reason, the

range is considered to be a crude and unreliable measure of variability. Therefore, in most

situations, it does not matter which definition you use to determine the range.

LEARNING CHECK

1. Which of the following sets of scores has the greatest variability?

a. 2, 3, 7, 12

b. 13, 15, 16, 17

c. 24, 25, 26, 27

d. 42, 44, 45, 46

2. What is the range for the following set of scores? 3, 7, 9, 10, 12

a. 3 points

b. 4 or 5 points

c. 9 or 10 points

d. 12 points

3. How many scores in the distribution are used to compute the range?

a. only 1

b. 2

c. 50% of them

d. all of the scores

ANSWERS

1. A, 2. C, 3. B

4.2 Defining Standard Deviation and Variance

LEARNING OBJECTIVES

3. Define variance and standard deviation and describe what is measured by each.

4. Calculate variance and standard deviation for a simple set of scores.

5. Estimate the standard deviation for a set of scores based on a visual examination of

a frequency distribution graph of the distribution.

The standard deviation is the most commonly used and the most important measure of

variability. Standard deviation uses the mean of the distribution as a reference point and

measures variability by considering the distance between each score and the mean.

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