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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 15.2 | The Pearson Correlation 491

You may have noted that the formulas for SP are similar to the formulas you have learned

for SS (sum of squares). The relationship between the two sets of formulas is described in

Box 15.1. The following example demonstrates the calculation of SP with both formulas.

BOX 15.1 Comparing the SP and SS Formulas

It may help you to learn the formulas for SP if you

note the similarity between the two SP formulas and

the corresponding formulas for SS that were presented

in Chapter 4. The definitional formula for SS is

SS = ∑(X – M) 2

In this formula, you must square each deviation,

which is equivalent to multiplying it by itself.

With this in mind, the formula can be rewritten as

SS = ∑(X – M)(X – M)

The similarity between the SS formula and the SP

formula should be obvious—the SS formula uses

squares and the SP formula uses products. This same

relationship exists for the computational formulas.

For SS, the computational formula is

SS 5 oX 2 2 soXd2

n

As before, each squared value is equivalent to multiplying

by itself, so the formula can be rewritten as

SS 5 oXX 2 oXoX

n

Again, note the similarity in structure between the SS

formula and the SP formula: If you remember that the

SS formulas use squared values and SP formulas use

products, then the two new formulas for the sum of

products should be easy to learn.

EXAMPLE 15.1

Caution: The signs

(1 and 2) are critical

in determining the sum

of products, SP.

The same set of n = 4 pairs of scores are used to calculate SP, first using the definitional

formula and then using the computational formula.

For the definitional formula, you need deviation scores for each of the X values and each

of the Y values. Note that the mean for the Xs is M X

= 2.5 and the mean for the Ys is M Y

= 5.

The deviations and the products of deviations are shown in the following table:

Scores Deviations Products

X Y X – M X

Y – M Y

(X – M X

)(Y – M Y

)

1 3 –1.5 –2 +3

2 6 –0.5 +1 –0.5

4 4 +1.5 –1 –1.5

3 7 +0.5 +2 +1

+2 = SP

For these scores, the sum of the products of the deviations is SP = +2.

For the computational formula, you need the X value, the Y value, and the XY product

for each individual. Then you find the sum of the Xs, the sum of the Ys, and the sum of the

XY products. These values are as follows:

X Y XY

1 3 3

2 6 12

4 4 16

3 7 21

10 20 52 Totals

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