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Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 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. Bookseller Inventory #

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Synopsis: By far 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, 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 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. A strong ancillary package includes PowerLecture™, which contains lecture slides, JoinIn™ Student Response System content, and a computerized test bank; Enhanced WebAssign, a complete and easy-to-use homework management system; WebTutor™; an Instructor's Manual/TestBank, plus other online and print resources.

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About This Edition

From the Publisher


New Features

  • The authors continue to refine and improve each edition, and this one is no exception. Content changes include an expanded discussion of continuous and discrete variables (Chapter 1), a new discussion relating measures of variability to the scales of measurement introduced in Chapter 1 (Chapter 4), and expanded coverage of z-scores, including increased emphasis on the definition and concept of z-scores rather than formulas (Chapter 5).
  • Chapters 13 through 15 include greater emphasis on concepts and less on computation, and a significantly expanded Chapter 17 includes new material on the interpretation of multiple regression and partial correlations.
  • Research examples have been updated throughout, and end-of-chapter problems have been extensively revised for currency and improved clarity.
  • The chapter-opening Preview sections have been revised to emphasize the fact that each new statistical technique is intended to serve a specific purpose or solve a specific problem.
  • The step-by-step Demonstration problems at the end of each chapter, which walk users through statistical procedures in a variety of ways, have been simplified to focus on the content of the chapter rather than tedious computations.

Additional Features

  • Conceptual context: To help make learning statistics as simple as possible for users who may be intimidated by the subject, statistical formulas are presented in both standard mathematical notation and in everyday language, with explanations of how and why formulas are used.
  • APA reporting guidance: In the Literature sections, which appear in nearly every chapter, demonstrate how statistical results (e.g., for the mean and the standard deviation, t tests, and independent-measures tests) are reported in APA style and explain the notation and jargon used.
  • Helpful visuals: Summary charts and graphs throughout the text are lauded by instructors and users. For example, a Statistics Organizer at the end of the text provides a decision tree to guide users to appropriate statistical procedures within the text.

See this title's supplement:

Study Guide for Gravetter and Wallnau's "Statistics for the Behavioral Sciences" (Eighth Edition)


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