Statistics for the Behavioral Sciences
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By far the best-selling introduction to statistics for users in the behavioral and social sciences, this book continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goal of STATISTICS FOR THE BEHAVIORAL SCIENCES, 8th 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 users understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Users have numerous opportunities to practice statistical techniques through Learning Checks, examples, step-by-step Demonstrations, and problems. Booknews Teaches methods of statistics and how to apply them appropriately. This fifth edition contains revised problems and learning checks, and is divided into sections on descriptive statistics, foundations of inferential statistics, inferential statistics for sample mean differences, and non-parametric statistics. Each section is preceded by a brief synopsis of goals and direction of material to be covered. Includes chapter summaries, problem solving tips, worked examples, and problems. The authors are affiliated with the State University of New York College at Brockport. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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 End-of-Chapter Problems. Appendix D: General Insturctions for Using SPSS. Statistics Organizer. References. Index.
