Explaining Psychological Statistics

Praise for the previous edition of Explaining Psychological Statistics "I teach a master's level, one-semester statistics course, and it is a challenge to find a textbook that is at the right level. Barry Cohen's book is the best one I have found. . . . I like the fact that the chapters have different sections that allow the professor to decide how much depth of coverage to include in his/her course. . . . This is a strong and improved edition of an already good book." —Karen Caplovitz Barrett, PhD, Professor, and Assistant Department Head of Human Development and Family Studies, Colorado State University "The quality is uniformly good. . . . This is not the first statistics text I have read but it is one of the best." —Michael Dosch, PhD, MS, CRNA, Associate Professor and Chair, Nurse Anesthesia, University of Detroit Mercy A clear and accessible statistics text— now fully updated and revised Now with a new chapter showing students how to apply the right test in the right way to yield the most accurate and true result, Explaining Psychological Statistics, Fourth Edition offers students an engaging introduction to the field. Presenting the material in a logically flowing, non-intimidating way, this comprehensive text covers both introductory and advanced topics in statistics, from the basic concepts (and limitations) of null hypothesis testing to mixed-design ANOVA and multiple regression. The Fourth Edition covers: Basic statistical procedures Frequency tables, graphs, and distributions Measures of central tendency and variability One- and two-sample hypothesis tests Hypothesis testing Interval estimation and the t distribution

Preface to the Third Edition xxv Acknowledgments xxxi Part One Descriptive Statistics 1 Chapter 1 Introduction To Psychological Statistics 1 Chapter 2 Frequency Tables, Graphs, And Distributions 21 Chapter 3 Measures Of Central Tendency And Variability 46 Chapter 4 Standardized Scores And The Normal Distribution 87 Part Two One– and Two–Sample Hypothesis Tests 123 Chapter 5 Introduction to Hypothesis Testing: The One–Sample z Test 123 Chapter 6 Interval Estimation and the t Distribution 156 Chapter 7 The t Test for Two Independent Sample Means 188 Chapter 8 Statistical Power and Effect Size 222 Part Three Hypothesis Tests Involving Two Measures on Each  Subject 255 Chapter 9 Linear Correlation 255 Chapter 10 Linear Regression 286 Chapter 11 The Matched t Test 317 Part Four Analysis of Variance without Repeated Measures 342 Chapter 12 One–Way Independent ANOVA 342 Chapter 13 Multiple Comparisons 386 Chapter 14 Two–Way ANOVA 425 Part Five Analysis of Variance with Repeated Measures 487 Chapter 15 Repeated Measures ANOVA 487 Chapter 16 Two–Way Mixed Design ANOVA 528 Part Six Multiple Regression and Its Connection to ANOVA 571 Chapter 17 Multiple Regression 571 Chapter 18 The Regression Approach to ANOVA 627 Part Seven Nonparametric Statistics 677 Chapter 19 The Binomial Distribution 677 Chapter 20 Chi–Square Tests 700 Appendix A Statistical Tables 757 Appendix B Answers To Selected Exercises 777 References 799 Index 807

BARRY H. COHEN, PhD, is the Director of the Master's Program in Psychology at New York University, where he has been teaching statistics for more than twenty years. He is the coauthor of two other successful statistics books from Wiley: Introductory Statistics for the Behavioral Sciences, Seventh Edition and Essentials of Statistics for the Social and Behavioral Sciences.