Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis, Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs.
The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests.
Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters.
New to the second edition:
- Chapters on factorial analysis of variance and non-parametric techniques for all data
- Additional and updated chapter exercises for students to test and demonstrate their learning
- Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual
Table of Contents
List of Tables
Chapter 1. Introduction to Statistics
Chapter 2. Organizing Data Using Tables and Graphs
Chapter 3. Measures of Central Tendency
Chapter 4. Measures of Variability
Chapter 5. z-Scores and Other Standard Scores
Chapter 6. Probability and the Normal Distribution
Chapter 7. Sampling Distribution of Means
Chapter 8. Hypothesis Testing
Chapter 9. One-Sample t Test
Chapter 10. Two-Sample t Test: Independent Samples Design
Chapter 11. Two-Sample t Test: Related Samples Design
Chapter 12. Confidence Interval versus Point Estimation
Chapter 13. One-Way Analysis of Variance
Chapter 14. Factorial Analysis of Variance
Chapter 15. Correlation and Regression
Chapter 16. Chi-Square
Chapter 17. Nonparametric Statistics for Ordinal Data
Appendix A. Glossary of Statistical Terms
Appendix B. Glossary of Statistical Formulas
Appendix C. Answers to Odd Numbered End of Chapter Problems
Cheryl Ann Willard serves on the faculty of the Psychology Department at Lee College in the Houston, Texas area. She has been teaching courses in psychology and statistics for over 25 years and continues to take great joy in witnessing her students develop new skills and apply them in new and creative ways.