Statistics for the Behavioral Sciences

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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, International 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. Key Features Excellent problems, straightforward writing—Gravetter and Wallnau are renowned for their excellent sample problems (Demonstrations), found at the end of every chapter, which walk students step-by-step through procedures in a variety of ways. This text is also consistently praised by professors and students alike for the friendly, accessible writing style. Enhanced WebAssign makes it easy for you to assign, collect, grade, and record homework assignments via the web. This proven and reliable system offers hundreds of practice problems pulled directly from this text and its Test Bank, step-by-step tutorials for text examples, and simulation problems that help students build problem-solving skills. For more details, see the front pages of this text or visit www.webassign.net/wadsworth. In-text learning aids—Students have many opportunities to assimilate the material and practice working through problems. Numerous Learning Checks (with answers) challenge students to test their comprehension as they read. A Focus on Problem Solving section in each chapter offers practical tips on deciding which formulas to use and cautions for avoiding common errors. Each chapter ends with 25 to 30 problems. Conceptual context—To help make learning statistics as simple as possible for students 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 t 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 students. For example, a Statistics Organizer at the end of the text provides a decision tree to guide students to appropriate statistical procedures within the text. Measurement of effect size—The measurement of effect size is included throughout the inferential statistics chapters (8, 9, 10, 11, 13, 14, 15, 16, and 18). SPSS®—An appendix contains a general introduction to SPSS®. In addition, at the end of each chapter for which an SPSS analysis is feasible, a step-by-step set of instructions describes how to enter data, how to run the analysis, and what to look for in the output. 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-MeasuresAnalysis 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.