Statistics for the Behavioral Sciences - Hardcover

Gravetter, Frederick J; Wallnau, Larry B.

3.53

351 ratings by Goodreads

9780534359263: Statistics for the Behavioral Sciences

Hardcover

ISBN 10: 0534359264 ISBN 13: 9780534359263

Publisher: Wadsworth Publishing, 1999

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Frederick J. Gravetter and Larry B. Wallnau combine an intuitive, easy-to-understand writing style with a wide variety of built-in learning aids and real-world examples. Applications are integrated to ensure that even students with a weak background in mathematics can achieve mastery of basic statistical concepts. Students using the book go beyond thinking of statistics as just a part of a course they have to take, instead coming to appreciate it as a growing field that helps us make sense of data in our world. The authors skillfully demonstrate to students that having an understanding of a variety of statistical procedures will help them understand published findings, as well as become savvy consumers of information.

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About the Author:

Frederick J Gravetter is Professor Emeritus of Psychology at The College at Brockport, State University of New York College. While teaching at Brockport, he specialized in statistics, research design, and cognitive psychology. Dr. Gravetter received his Bachelor's degree in mathematics from M.I.T. and his Ph.D. in psychology from Duke University. In addition to publishing several research articles, Dr. Gravetter is co-author of the best-selling STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition, ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 8th Edition, and (with Lori-Ann B. Forzano) RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, 5th Edition.

Review:

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 Statistics. 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. How to Decide Which Statistics Technique Is Appropriate for a Given Data Set.

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