A proven bestseller, ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 8e gives you straightforward instruction, unrivaled accuracy, built-in learning aids, and plenty of real-world examples to help you understand statistical concepts. The authors take time to fully explain statistical procedures so that you can go beyond memorizing formulas and begin gaining a conceptual understanding of statistics. They also take care to show you how having an understanding of statistical procedures will help you comprehend published findings--ultimately leading you to become a savvy consumer of information.
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Frederick J Gravetter is Professor Emeritus of Psychology at The College at Brockport, State University of New York. 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, 10th Edition, ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition, and RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, 5th Edition.
Larry B. Wallnau is Professor Emeritus of Psychology at The College at Brockport, State University of New York. The recipient of grants and awards in both research and teaching, Dr. Wallnau has published numerous research articles primarily on the effect of psychotropic drugs. With Frederick J Gravetter, he has co-authored previous editions of STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its tenth edition, and ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, now in its ninth edition.
PART I: INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics. 2. Frequency Distributions. 3. Measures of Central Tendency. 4. Measures of 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 and Two-Factor Analysis of Variance. PART V: CORRELATIONS AND NONPARAMETRIC TESTS. 14. Correlation and Regression. 15. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.
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