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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 12.3 | ANOVA Notation and Formulas 377

The final goal for the

ANOVA is an F-ratio

F 5

Variance between treatments

Variance within treatments

Each variance in

the F-ratio is

computed as SS/df

Variance

SS between

between 5

treatments df between

Variance

SS within

within 5

treatments df within

FIGURE 12.4

The structure and

sequence of calculations

for the ANOVA.

To obtain each of

the SS and df values,

the total variability

is analyzed into the

two components

SS between

SS total

SS within

df between

df total

df within

components (between and within). Then compute df for the total study, and analyze

it into two components (between and within).

Thus, the entire process of ANOVA requires nine calculations: three values for SS, three

values for df, two variances (between and within), and a final F-ratio. However, these nine

calculations are all logically related and are all directed toward finding the final F-ratio.

Figure 12.4 shows the logical structure of ANOVA calculations.

■ Analysis of Sum of Squares (SS)

The ANOVA requires that we first compute a total sum of squares and then partition this

value into two components: between treatments and within treatments. This analysis is

outlined in Figure 12.5. We will examine each of the three components separately.

1. Total Sum of Squares, SS total

. As the name implies, SS total

is the sum of squares for

the entire set of N scores. As described in Chapter 4 (pp. 110–112), this SS value

can be computed using either a definitional or a computational formula. However,

SS Total

G 2

S X 2 2

N

FIGURE 12.5

Partitioning the sum of squares

(SS) for the independentmeasures

ANOVA.

SS between treatments

n (SS for the treatment means)

or

T 2 G 2

S 2

n N

SS within treatments

SSS inside each treatment

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