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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 17.2 | An Example of the Chi-Square Test for Goodness of Fit 569

FIGURE 17.2

Chi-square distributions

are positively skewed. The

critical region is placed

in the extreme tail, which

reflects large chi-square values.

0

x 2

Critical

region

The following example is an opportunity to test your understanding of the expected

frequencies and the df value for the chi-square test for goodness of fit.

EXAMPLE 17.1

A researcher has developed three different designs for a computer keyboard. A sample of

n = 60 participants is obtained, and each individual tests all three keyboards and identifies

his or her favorite. The frequency distribution of preferences is as follows:

Design A Design B Design C

23 12 25 n = 60

Assume that the null hypothesis states that there are no preferences among the three

designs. Find the expected frequencies for the chi-square test and determine the df

value for the chi-square statistic. You should find that f e

= 20 for all three keyboard

designs and df = 2.

df 5 1

df 5 5

df 5 9

FIGURE 17.3

The shape of the chi-square

distribution for different

values of df. As the number

of categories increases,

the peak (mode) of the

distribution has a larger

chi-square value.

0

x 2

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