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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 17.3 | The Chi-Square Test for Independence 577

TABLE 17.5

An empty frequency

distribution matrix showing

only the row totals

and column totals. (These

numbers describe the

basic characteristics of the

sample from Table 17.4.)

Red Yellow Green Blue

Introvert 50

Extrovert 150

100 20 40 40

consists of 200 people, the proportion selecting red is 100 out of 200, or 50%. The

complete set of color preference proportions is as follows:

100 out of 200 = 50% prefer red

20 out of 200 = 10% prefer yellow

40 out of 200 = 20% prefer green

40 out of 200 = 20% prefer blue

The row totals in the matrix define the two samples of personality types. For example, the

matrix in Table 17.5 shows a total of 50 introverts (the top row) and a sample of 150 extroverts

(the bottom row). According to the null hypothesis, both personality groups should

have the same proportions for color preferences. To find the expected frequencies, we simply

apply the overall distribution of color preferences to each sample. Beginning with the

sample of 50 introverts in the top row, we obtain expected frequencies of

50% prefer red: f e

= 50% of 50 = 0.50(50) = 25

10% prefer yellow: f e

= 10% of 50 = 0.10(50) = 5

20% prefer green: f e

= 20% of 50 = 0.20(50) = 10

20% prefer blue: f e

= 20% of 50 = 0.20(50) = 10

Using exactly the same proportions for the sample of n = 150 extroverts in the bottom row,

we obtain expected frequencies of

50% prefer red: f e

= 50% of 150 = 0.50(50) = 75

10% prefer yellow: f e

= 10% of 150 = 0.10(50) = 15

20% prefer green: f e

= 20% of 150 = 0.20(50) = 30

20% prefer blue: f e

= 20% of 150 = 0.20(50) = 30

The complete set of expected frequencies is shown in Table 17.6. Notice that the row totals

and the column totals for the expected frequencies are the same as those for the original

data (the observed frequencies) in Table 17.4.

TABLE 17.6

Expected frequencies

corresponding to the data

in Table 17.4. (This is the

distribution predicted by

the null hypothesis.)

Red Yellow Green Blue

Introvert 25 5 10 10 50

Extrovert 75 15 30 30 150

100 20 40 40

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