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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 4.6 | More about Variance and Standard Deviation 121

scores have been multiplied by 2, these scores become X 5 82 and X 5 86. Now

the distance between scores is 4 points, twice the original distance. Multiplying

each score causes each distance to be multiplied, so the standard deviation also is

multiplied by the same amount.

IN THE LITERATURE

Reporting the Standard Deviation

In reporting the results of a study, the researcher often provides descriptive information

for both central tendency and variability. The dependent variables in psychology

research are often numerical values obtained from measurements on interval or ratio

scales. With numerical scores the most common descriptive statistics are the mean

(central tendency) and the standard deviation (variability), which are usually reported

together. In many journals, especially those following APA style, the symbol SD is used

for the sample standard deviation. For example, the results might state:

Children who viewed the violent cartoon displayed more aggressive responses

(M 5 12.45, SD 5 3.7) than those who viewed the control cartoon (M 5 4.22,

SD 5 1.04).

When reporting the descriptive measures for several groups, the findings may be

summarized in a table. Table 4.2 illustrates the results of hypothetical data.

TA B L E 4.2

The number of aggressive

behaviors for male

and female adolescents

after playing a violent or

nonviolent video game.

Males

Females

Type of Video Game

Violent

Control

M 5 7.72 M 5 4.34

SD 5 2.43 SD 5 2.16

M 5 2.47 M 5 1.61

SD 5 0.92 SD 5 0.68

Sometimes the table also indicates the sample size, n, for each group. You should

remember that the purpose of the table is to present the data in an organized, concise,

and accurate manner.

■ Standard Deviation and Descriptive Statistics

Because standard deviation requires extensive calculations, there is a tendency to get lost

in the arithmetic and forget what standard deviation is and why it is important. Standard

deviation is primarily a descriptive measure; it describes how variable, or how spread

out, the scores are in a distribution. Behavioral scientists must deal with the variability

that comes from studying people and animals. People are not all the same; they have

different attitudes, opinions, talents, IQs, and personalities. Although we can calculate

the average value for any of these variables, it is equally important to describe the variability.

Standard deviation describes variability by measuring distance from the mean. In

any distribution, some individuals will be close to the mean, and others will be relatively

far from the mean. Standard deviation provides a measure of the typical, or standard,

distance from the mean.

Describing an Entire Distribution Rather than listing all of the individual scores in

a distribution, research reports typically summarize the data by reporting only the mean

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