This text emphasizes contemporary research problems to better illustrate the relevance of statistical analysis in scientific research. All statistical methods are introduced in the context of a realistic problem, many of which are from contemporary published research.
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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 GraphsChapter 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 VarianceChapter 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 TablesAppendix D Commonly Used Formulas
Appendix E Answers for Computational Problems
Appendix F Glossary
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