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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 10.2 | The Null Hypothesis and the Independent-Measures t Statistic 309

This same structure is used for both the single-sample t from Chapter 9 and the new independent-measures

t that was introduced in the preceding pages. Table 10.1 identifies each

component of these two t statistics and should help reinforce the point that we made earlier

in the chapter; that is, the independent-measures t statistic simply doubles each aspect of

the single-sample t statistic.

TABLE 10.1

The basic elements of a t statistic for the single-sample t and the independent-measures t.

Single-sample

t statistic

Independentmeasures

Sample

Data

Hypothesized

Population

Parameter

Estimated

Standard

Error

Sample

Variance

M μ

Î s2

s 2 5 SS

n

df

(M 1

− M 2

) (μ 1

− μ 2

)

Î s2 s

p

2 p

1 s 2

n 1

n 5 SS 1 SS 1 2

p

df

2 1

1 df 2

LEARNING CHECK

ANSWERS

1. When the null hypothesis is true, what is measured by the estimated standard error

in the denominator of the independent-measures t statistic?

a. The standard distance between a sample mean and its population mean

b. The standard distance between two sample means selected from the same population

c. The actual distance between a sample mean and its population mean

d. The actual distance between two sample means

2. Which of the following is the correct null hypothesis for an independent-measures t test?

a. M 1

− M 2

= 0

b. M 1

− M 2

≠ 0

c. μ 1

− μ 2

= 0

d. μ 1

− μ 2

≠ 0

3. One sample from an independent-measures study has n = 4 with SS = 100. The

other sample has n = 8 and SS = 140. What is the pooled variance?

a. 53.33

b. 42.5

c. 24

d. 20

4. One sample from an independent-measures study has n = 9 with a variance of s 2 = 35.

The other sample has n = 3 and s 2 = 40. What is the df value for the t statistic?

a. 36

b. 12

c. 11

d. 10

1. B, 2. C, 3. C, 4. D

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