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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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30 CHAPTER 1 | Introduction to Statistics

experimental condition (15)

nonequivalent groups study (16)

pre–post study (17)

quasi-independent variable (17)

construct (19)

operational definition (19)

discrete variable (19)

continuous variable (19)

real limits (20)

upper real limit (20)

lower real limit (20)

nominal scale (21)

ordinal scale (22)

interval scale (23)

ratio scale (23)

SPSS ®

The Statistical Package for the Social Sciences, known as SPSS, is a computer program that performs

most of the statistical calculations that are presented in this book, and is commonly available

on college and university computer systems. Appendix D contains a general introduction to SPSS.

In the Resource section at the end of each chapter for which SPSS is applicable, there are stepby-step

instructions for using SPSS to perform the statistical operations presented in the chapter.

FOCUS ON PROBLEM SOLVING

It may help to simplify summation notation if you observe that the summation sign is always

followed by a symbol or symbolic expression—for example, ΣX or Σ(X + 3). This symbol

specifies which values you are to add. If you use the symbol as a column heading and list all

the appropriate values in the column, your task is simply to add up the numbers in the column.

To find Σ(X + 3) for example, start a column headed with (X + 3) next to the column of Xs.

List all the (X + 3) values; then find the total for the column.

Often, summation notation is part of a relatively complex mathematical expression that

requires several steps of calculation. The series of steps must be performed according to the

order of mathematical operations (see page 26). The best procedure is to use a computational

table that begins with the original X values listed in the first column. Except for summation,

each step in the calculation creates a new column of values. For example, computing Σ(X + 1) 2

involves three steps and produces a computational table with three columns. The final step is

to add the values in the third column (see Example 1.4).

DEMONSTRATION 1.1

SUMMATION NOTATION

A set of scores consists of the following values:

7 3 9 5 4

For these scores, compute each of the following:

X X 2

7 49

3 9

9 81

5 25

4 16

ΣX

(ΣX) 2

ΣX 2

ΣX + 5

Σ(X – 2)

Compute ΣX To compute ΣX, we simply add all of the scores in the group.

ΣX = 7 + 3 + 9 + 5 + 4 = 28

Compute (ΣX) 2 The first step, inside the parentheses, is to compute ΣX. The second step is

to square the value for ΣX.

ΣX = 28 and (ΣX) 2 = (28) 2 = 784

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