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Statistics for the Behavioral Sciencesby Frederick J Gravetter
Synopses & Reviews
The best-selling introduction to statistics for students in the behavioral and social sciences, this text continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goal of STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition is to not only teach the methods of statistics, but also to convey the basic principles of objectivity and logic that are essential for science and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through learning checks, examples, step-by-step demonstrations, and problems.
About the Author
Frederick J Gravetter is Professor Emeritus of Psychology at The College at Brockport, State University of New York College. While teaching at Brockport, he specialized in statistics, research design, and cognitive psychology. Dr. Gravetter received his Bachelor's degree in mathematics from M.I.T. and his Ph.D. in psychology from Duke University. In addition to publishing several research articles, Dr. Gravetter is co-author of the best-selling STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition, ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 8th Edition, and (with Lori-Ann B. Forzano) RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, 5th Edition. Larry B. Wallnau is Professor Emeritus of Psychology at the State University of New York College at Brockport. The recipient of grants and awards in both research and teaching, Dr. Wallnau has published numerous research articles primarily on the effect of psychotropic drugs. With Frederick J Gravetter, he has co-authored previous editions of STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its Ninth Edition, and ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its Sixth Edition.
Table of Contents
PART I. INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics. 2. Frequency Distributions. 3. Central Tendency. 4. Variability. PART II. FOUNDATIONS OF INFERENTIAL STATISTICS. 5. z-Scores: Location of Scores and Standardized Distributions. 6. Probability. 7. Probability and Samples: The Distribution of Sample Means. PART III. INFERENCES ABOUT MEANS AND MEAN DIFFERENCES. 8. Introduction to Hypothesis Testing. 9. Introduction to the t Statistic. 10. The t Test for Two Independent Samples. 11. The t Test for Two Related Samples. 12. Estimation. 13. Introduction to Analysis of Variance. 14. Repeated-Measures Analysis of Variance (ANOVA). 15. Two-Factor Analysis of Variance (Independent Measures). PART IV. CORRELATIONS AND NONPARAMETRIC TESTS. 16. Correlation. 17. Introduction to Regression. 18. The Chi-Square Statistic: Tests for Goodness of Fit and Independence. 19. The Binomial Test. 20. Statistical Techniques for Ordinal Data: Mann-Whitney, Wilcoxon, Kruskal Wallis, and Friedman Tests. Appendix A. Basic Mathematics Review. Appendix B. Statistical Tables. Appendix C. Solutions for Odd-Numbered Problems. Appendix D. General Instructions for Using SPSS. Statistics Organizer. References. Index.
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