This book is an introduction to statistics for the behavioral sciences in which emphasis is placed on developing
and explaining statistics in the context of actual research problems. Formal statistical theory is minimized in
favor of a conceptual approach to statistics.
Table of Contents
Chapter 1 Making Sense of Variability: An Introduction to Statistics Chapter 2 Statistics in the Context of Scientific Research Chapter 3 Looking at Data: Frequency Distributions and Graphs Chapter 4 Looking at Data: Measures of Central Tendency Chapter 5 Looking at Data: Measures of Variability Chapter 6 The Normal Distribution, Probability, and Standard Scores Chapter 7 Understanding Data: Using Statistics for Inference and Estimation Chapter 8 Is There Really a Difference? Introduction to Statistical Hypothesis Testing Chapter 9 The Basics of Experimentation and Testing for a Difference between Means Chapter 10 One-Factor Between-Subjects Analysis of Variance Chapter 11 Two-Factor Between-Subjects Analysis of Variance Chapter 12 One-Factor Within-Subjects Analysis of Variance Chapter 13 Correlation: Understanding Covariation Chapter 14 Regression Analysis: Predicting Linear Relationships Chapter 15 Nonparametric Tests Appendix A Mathematics Review Appendix B Statistical Symbols Appendix C Statistical Tables Appendix D Commonly Used Formulas Appendix E Answers for Computational Problems Appendix F Glossary
