Emphasizes the conceptual basis for statistical analysis using realistic problems to introduce the various statistics discussed.
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. These studies are fully referenced so students can easily access the original research. The uses of statistics are then developed and presented in a conceptually logical progression for increased comprehension. Several forms of practice problems are available to students and presented in a manner that assists students in mastering component pieces before integrating them together.
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
