Statistics for the Behavioral Sciences / Edition 9by Frederick J Gravetter, Wallnau
Pub. Date: 01/01/2012
Publisher: Cengage Learning
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
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.
- Cengage Learning
- Publication date:
- PSY 200 (300) Quantitative Methods in Psychology Series
- Sales rank:
- Product dimensions:
- 8.20(w) x 10.10(h) x 1.30(d)
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. 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.
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Most Helpful Customer Reviews
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Confusion reigns in every chapter. The authors' inability to explain concepts in a clear way, and integrate them into the text, turns off students off statistics, as they go through the motions of finding the correct formula and "solving" problems without even being able to understand what all these numbers mean or represent. Those who can't do, teach. Those who can't teach, write expensive and incoherent textbooks. Check out Witte&Witte text instead.
Had not taken a math course four years prior to taking a statistics online course at my university and did so good! The book breaks down facts and instructions for each topic. Self-studied with the book and practiced the problems towards the end of the chapters.