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 ...Read MoreBy 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 PowerLectureO, which contains lecture slides, JoinInO Student Response System content, and a computerized test bank; Enhanced WebAssign, a complete and easy-to-use homework management system; WebTutorO; an Instructor's Manual/TestBank, plus other online and print resources.Read Less
New. The book is now separated into five sections to emphasize the similarities among groups of statistical methods. Each section contains two to four chapters, and begins with an introduction and concludes with a review, including review exercises. The book`s conceptual context helps 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. This edition`s excellent problems, which walk students step-by-step through procedures in a variety of ways, reflect the straightforward writing for which Gravetter and Wallnau are renowned. Each chapter ends with 25 to 30 problems. In-text learning aids give students many opportunities to master the material with 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. 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. An appendix contains a general introduction to IBM 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. 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. 8. Introduction to Hypothesis Testing. Part III: USING t STATISTICS FOR INFERENCES ABOUT POPULATION MEANS AND MEAN DIFFERENCES. 9. Introduction to the t Statistic. 10. The t Test for Two Independent Samples. 11. The t Test for Two Related Samples. Part IV: ANALYSIS OF VARIANCE: TESTS FOR DIFFERENCES AMONG TWO OR MORE POPULATION MEANS. 12. Introduction to Analysis of Variance. 13. Repeated-Measures Analysis of Variance (ANOVA) 14. Two-Factor Analysis of Variance (Independent Measures). Part V: CORRELATIONS AND NON-PARAMETRIC TESTS. 15. Correlation. 16. Introduction to Regression. 17. The Chi-Square Statistic: Tests for Goodness of Fit and Independence. 18. The Binomial Test. 19. Choosing the Right Statistics. Printed Pages: 792..
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This book is organized so that someone who has little background in statistics, but has some knowledge of algebraic equations can understand the subject matter, step by step. Each statistical computation is produced with guidelines and structure so that the student is lead through the process one step at a time. Excellent text and the self study questions are also very good at making sure you understand each area prior to going on to the next, or for returning to prior to doing questions.
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