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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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Solutions for Odd-Numbered

Problems in the Text

APPENDIX

C

Note: Many of the problems in the text require several stages of computation. At each stage

there is an opportunity for rounding answers. Depending on the exact sequence of operations

used to solve a problem, different individuals will round their answers at different

times and in different ways. As a result, you may obtain answers that are slightly different

from those presented here. To help minimize this problem, we have tried to include the

numerical values obtained at different stages of complex problems rather than presenting

a single final answer.

CHAPTER 1

Introduction to Statistics

1. a. The population is the entire set of high school

students in the United States.

b. The sample is the group of 100 students who were

tested in the study.

3. Descriptive statistics are used to simplify and summarize

data. Inferential statistics use sample data to make

general conclusions about populations.

5. A correlational study has only one group of individuals

and measures two (or more) different variables

for each individual. Other research methods evaluating

relationships between variables compare two (or

more) different groups of scores.

7. The independent variable is the type of word that the

participants shouted. The dependent variable is the

amount of pain they tolerated.

9. This is a nonexperimental study. The researcher

is simply observing two preexisting groups, not

manipulating variables.

11. This is not an experiment because there is no

manipulation. Instead, the study is comparing two

preexisting groups (state university and religious

college students).

13. Annual income is continuous. Number of dependents

and social security number are both discrete.

15. The independent variable is the amount of control

over office design. The dependent variables are

productivity and well-being.

17. a. The independent variable is whether or not the

motivational signs were posted, and the dependent

variable is amount of use of the stairs.

b. Posting vs. not posting is measured on a

nominal scale.

19. a. ΣX 2 = 48

b. (ΣX) 2 = 14 2 = 196

c. Σ(X − 1) = 9

d. Σ(X − 1) 2 = 25

21. a. ΣX = 4

b. ΣY = 18

c. ΣXY = 11

23. a. ΣX 2 = 50

b. (ΣX) 2 = 12 2 = 144

c. Σ(X − 3) = 0

d. Σ(X − 3) 2 = 14

663

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