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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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524 CHAPTER 15 | Correlation

STEP 2

Compute the Pearson correlation For these data, the Pearson correlation is

r 5

SP 5 40

ÏSS X

SS Y

Ï40s54d 5 40

Ï2160 5 40

46.48 5 0.861

In Step 1, our preliminary estimate for the correlation was between +0.80 and +0.90. The

calculated correlation is consistent with this estimate.

STEP 3

Evaluate the significance of the correlation The null hypothesis states that, for the

population, there is no linear relationship between X and Y, and that the value obtained for

the sample correlation is simply the result of sampling error. Specifically, H 0

says that the

population correlation is zero (ρ = 0). With n = 5 pairs of X and Y values the test has df = 3.

Table B.6 lists a critical value of 0.878 for a two-tailed test with α = .05. Because our correlation

is smaller than this value, we fail to reject the null hypothesis and conclude that the

correlation is not significant.

PROBLEMS

1. What information is provided by the sign (+ or –) of

the Pearson correlation?

2. What information is provided by the numerical value

of the Pearson correlation?

3. Calculate SP (the sum of products of deviations) for

the following scores. Note: Both means are whole

numbers, so the definitional formula works well:

X

Y

4 5

0 2

1 1

3 4

4. Calculate SP (the sum of products of deviations) for

the following scores. Note: Both means are decimal

values, so the computational formula works well:

5. For the following scores,

X

Y

0 4

1 1

0 5

4 1

2 1

1 3

X

Y

2 7

5 4

4 7

7 5

2 6

4 7

a. Sketch a scatter plot showing the six data points.

b. Just looking at the scatter plot, estimate the value

of the Pearson correlation.

c. Compute the Pearson correlation.

6. For the following scores,

X

Y

0 4

2 9

1 6

1 9

a. Sketch a scatter plot and estimate the Pearson

correlation.

b. Compute the Pearson correlation.

7. For the following scores,

X

Y

4 0

1 5

1 0

4 5

a. Sketch a scatter plot and estimate the Pearson

correlation.

b. Compute the Pearson correlation.

8. For the following scores,

X

Y

3 6

5 5

6 0

6 2

5 2

a. Sketch a scatter plot and estimate the value of the

Pearson correlation.

b. Compute the Pearson correlation.

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