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Informationen zum Autor JOAN WELKOWITZ, PhD, (deceased) was professor of psychology at New York University. She directed the graduate clinical program for ten years. She taught courses in methodology and statistics at both the graduate and undergraduate levels for more than twenty-five years and?was the primary author of Introductory Statistics for the Behavioral Sciences. 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?Explaining Psychological Statistics, Third Edition, and Essentials of Statistics for the Social and Behavioral Sciences. R. BROOKE LEA, PhD, is professor and chair of the Psychology Department at Macalester College, St. Paul, Minnesota.?His research publications concern the comprehension processes that occur during reading of text and poetry. Klappentext A comprehensive and user-friendly introduction to statistics for behavioral science students-revised and updatedRefined over seven editions by master teachers, this book gives instructors and students alike clear examples and carefully crafted exercises to support the teaching and learning of statistics for both manipulating and consuming data.One of the most popular and respected statistics texts in the behavioral sciences, the Seventh Edition of Introductory Statistics for the Behavioral Sciences has been fully revised. The new edition presents all the topics students in the behavioral sciences need in a uniquely accessible and easy-to-understand format, aiding in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences.The Seventh Edition features:* A continuous narrative that clearly explains statistics while tracking a common data set throughout, making the concepts unintimidating and memorable, and providing a framework that connects all of the topics and allows for easy comparison of different statistical analyses* Coverage of important aspects of research design throughout the text, such as the "correlation is not causality" principle* Updated and annotated SPSS output at the end of each chapter with step-by-step instructions* Updated examples and exercises* An expanded website, at www.wiley.com/go/welkowitz, with test bank, chapter quizzes, and PowerPoint slides for instructors, as well as a second website for students with additional basic math coverage, math review exercises, a study guide, a set of additional SPSS exercises, and more downloadable data sets Zusammenfassung This popular and well-respected statistics text has been thoroughly revised to present all the topics behavioral science students need. Now featuring expanded Web sites for instructors and students, the authors provide a framework that connects all of the topics in the text and allows for easy comparison of different statistical analyses. Inhaltsverzeichnis Preface xv Acknowledgments xix Glossary of Symbols xxi Part I Descriptive Statistics 1 Chapter 1 Introduction 3 Why Study Statistics? 4 Descriptive and Inferential Statistics 5 Populations, Samples, Parameters, and Statistics 6 Measurement Scales 7 Independent and Dependent Variables 10 Summation Notation 12 Ihno's Study 16 Summary 18 Exercises 19 Thought Questions 23 Computer Exercises 23 Bridge to SPSS 24 Chapter 2 Frequency Distributions and Graphs 26 The Purpose of Descriptive Statistics 27 Regular Frequency Distributions 28 Cumulative Frequency Distributions 30 Grouped Frequency Distributions 31 Real and Apparent Limits 33 Interpreting a Raw Score 34 Definition of Percentile Rank and Percentile 34 Computati...
List of contents
Part I Descriptive Statistics
Chapter 1: Introduction
Chapter 2: Frequency Distributions and Graphs
Chapter 3: Measures of Central Tendency and Variability
Chapter 4: Standardized Scores and the Normal Distribution
Part II Basic Inferential Statistics
Chapter 5: Introduction to Statistical Inference
Chapter 6: The One-Sample t Test and Interval Estimation
Chapter 7: Testing Hypotheses about the Difference between the Means of Two Populations
Chapter 8: Nonparametric Tests for the Difference between Two Means
Chapter 9: Linear Correlation
Chapter 10: Prediction and Linear Regression
Chapter 11: Introduction to Power Analysis
Part III Analysis of Variance Methods
Chapter 12: One-Way Analysis of Variance
Chapter 13: Multiple Comparisons
Chapter 14: Introduction to Factorial Design: Two-Way Analysis of Variance
Chapter 15: Repeated-Measures ANOVA
Part IV Nonparametric Statistics for Categorical Data
Chapter 16: Probability of Discrete Events and the Binomial Distribution
Chapter 17: Chi Square Tests
Appendix
Glossary of Terms
