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Stats & Probability for Behavioral/Social Sciences Textbooks

by Dennis Hinkle and William Wiersma

Edition: 4TH 98Copyright: 1998

Publisher: Houghton Mifflin Harcourt

Published: 1998

International: No

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A clear presentation, accessible language, and step-by-step examples are the hallmarks of this solid introduction to behavioral statistics. Targeted to students in a variety of social science programs, and assuming only basic knowledge of mathematics and algebra, *Applied Statistics for Behavioral Sciences* provides a broad survey of procedures, comprehensive coverage of statistical theory, and abundant cross-discipline applications.

*New!*A disk with five data sets in three formats (SPSS, ASCII, and SPSSX Portable) accompanies each student text, with computer exercises and descriptions in a new text appendix.*New!**Computer Example*boxes throughout the text demonstrate how to interpret SPSS computer output.*New!*Coverage of Chi Square (*X*²) Tests for Frequencies has been revised for better flow of content, and new examples provide a more logical progression.- Cross-disciplinary applied research exercises in psychology, education, sociology, political science, and marketing help students relate the study of statistics to their various courses.
- Coverage unique to this text and vital to the understanding of current research literature includes power and sample size, multiple comparison tests, multiple regression, and analysis of covariance.
- This edition offers numerous updated examples, new coverage on interpreting computer output, and revised, earlier treatment of bivariate regression.

1. Introduction

2. Organizing and Graphing Data

3. Describing Distributions: Individual Scores, Central Tendency, and Variation

4. The Normal Distribution

5. Correlation: A Measure of Relationship

6. Linear Regression: Prediction

7. Probability, Sampling Distributions, and Sampling Procedures

8. Hypothesis Testing: One-Sample Case for the Mean

9. Estimation: One-Sample Case for the Mean

10. Hypothesis Testing: One-Sample Case for Other Statistics

11. Hypothesis Testing: Two-Sample Case for the Mean

12. Hypothesis Testing: Two-Sample Case for Other Statistics

13. Determining Power and Sample Size

14. Hypothesis Testing, *K*-Sample Case: Analysis of Variance, One-Way

15. Multiple-Comparison Procedures

16. Analysis of Variance, Two-Way Classification

17. Linear Regression: Estimation and Hypothesis Testing

18. Multiple Linear Regression

19. Analysis of Covariance

20. Other Correlation Coefficients

21. Chi-Square (*X*²) Tests for Frequencies

22. Other Nonparametric Tests

Appendix A. Glossary

Appendix B. Data Sets and Computer Exercises

Appendix C. Tables

Appendix D. Answers to Exercises

References

Index

Summary

A clear presentation, accessible language, and step-by-step examples are the hallmarks of this solid introduction to behavioral statistics. Targeted to students in a variety of social science programs, and assuming only basic knowledge of mathematics and algebra, *Applied Statistics for Behavioral Sciences* provides a broad survey of procedures, comprehensive coverage of statistical theory, and abundant cross-discipline applications.

*New!*A disk with five data sets in three formats (SPSS, ASCII, and SPSSX Portable) accompanies each student text, with computer exercises and descriptions in a new text appendix.*New!**Computer Example*boxes throughout the text demonstrate how to interpret SPSS computer output.*New!*Coverage of Chi Square (*X*²) Tests for Frequencies has been revised for better flow of content, and new examples provide a more logical progression.- Cross-disciplinary applied research exercises in psychology, education, sociology, political science, and marketing help students relate the study of statistics to their various courses.
- Coverage unique to this text and vital to the understanding of current research literature includes power and sample size, multiple comparison tests, multiple regression, and analysis of covariance.
- This edition offers numerous updated examples, new coverage on interpreting computer output, and revised, earlier treatment of bivariate regression.

Table of Contents

1. Introduction

2. Organizing and Graphing Data

3. Describing Distributions: Individual Scores, Central Tendency, and Variation

4. The Normal Distribution

5. Correlation: A Measure of Relationship

6. Linear Regression: Prediction

7. Probability, Sampling Distributions, and Sampling Procedures

8. Hypothesis Testing: One-Sample Case for the Mean

9. Estimation: One-Sample Case for the Mean

10. Hypothesis Testing: One-Sample Case for Other Statistics

11. Hypothesis Testing: Two-Sample Case for the Mean

12. Hypothesis Testing: Two-Sample Case for Other Statistics

13. Determining Power and Sample Size

14. Hypothesis Testing, *K*-Sample Case: Analysis of Variance, One-Way

15. Multiple-Comparison Procedures

16. Analysis of Variance, Two-Way Classification

17. Linear Regression: Estimation and Hypothesis Testing

18. Multiple Linear Regression

19. Analysis of Covariance

20. Other Correlation Coefficients

21. Chi-Square (*X*²) Tests for Frequencies

22. Other Nonparametric Tests

Appendix A. Glossary

Appendix B. Data Sets and Computer Exercises

Appendix C. Tables

Appendix D. Answers to Exercises

References

Index

Publisher Info

Publisher: Houghton Mifflin Harcourt

Published: 1998

International: No

Published: 1998

International: No

A clear presentation, accessible language, and step-by-step examples are the hallmarks of this solid introduction to behavioral statistics. Targeted to students in a variety of social science programs, and assuming only basic knowledge of mathematics and algebra, *Applied Statistics for Behavioral Sciences* provides a broad survey of procedures, comprehensive coverage of statistical theory, and abundant cross-discipline applications.

*New!*A disk with five data sets in three formats (SPSS, ASCII, and SPSSX Portable) accompanies each student text, with computer exercises and descriptions in a new text appendix.*New!**Computer Example*boxes throughout the text demonstrate how to interpret SPSS computer output.*New!*Coverage of Chi Square (*X*²) Tests for Frequencies has been revised for better flow of content, and new examples provide a more logical progression.- Cross-disciplinary applied research exercises in psychology, education, sociology, political science, and marketing help students relate the study of statistics to their various courses.
- Coverage unique to this text and vital to the understanding of current research literature includes power and sample size, multiple comparison tests, multiple regression, and analysis of covariance.
- This edition offers numerous updated examples, new coverage on interpreting computer output, and revised, earlier treatment of bivariate regression.

1. Introduction

2. Organizing and Graphing Data

3. Describing Distributions: Individual Scores, Central Tendency, and Variation

4. The Normal Distribution

5. Correlation: A Measure of Relationship

6. Linear Regression: Prediction

7. Probability, Sampling Distributions, and Sampling Procedures

8. Hypothesis Testing: One-Sample Case for the Mean

9. Estimation: One-Sample Case for the Mean

10. Hypothesis Testing: One-Sample Case for Other Statistics

11. Hypothesis Testing: Two-Sample Case for the Mean

12. Hypothesis Testing: Two-Sample Case for Other Statistics

13. Determining Power and Sample Size

14. Hypothesis Testing, *K*-Sample Case: Analysis of Variance, One-Way

15. Multiple-Comparison Procedures

16. Analysis of Variance, Two-Way Classification

17. Linear Regression: Estimation and Hypothesis Testing

18. Multiple Linear Regression

19. Analysis of Covariance

20. Other Correlation Coefficients

21. Chi-Square (*X*²) Tests for Frequencies

22. Other Nonparametric Tests

Appendix A. Glossary

Appendix B. Data Sets and Computer Exercises

Appendix C. Tables

Appendix D. Answers to Exercises

References

Index