Elements of Statistical Reasoning, 2nd Edition
November 1998, ©1999
Elements of Statistical Reasoning, Second Edition is an introductory statistics text intended for students in psychology, education, and related disciplines. The first edition received praise for its accuracy, appropriate level of detail, and comfortable style. Theodore Coladarci has joined Minium and Clarke in this edition to provide an engaging, clear exposition that balances conceptual development with the appropriate level of technical detail.
Part I: Descriptive Statistics
* Frequency Distributions
* Graphic Representation
* Central Tendency
* Normal Distributions and Standard Curves
* Regression and Prediction
Part II: Inferential Statistics
* Probability and Probability Distributions
* Sampling Distributions
* Testing Statistical Hypotheses About m When s is Known: The One-Sample z-Test
* Testing Statistical Hypotheses About m When s is Not Known: The One-Sample t-Test
* Comparing the Means of Two Populations: Independent Samples
* Comparing the Means of Dependent Samples
* Inferences About the Pearson Correlation Coefficient
* Statistical "Power" (and How to Increase It)
* Comparing the Means of Three or More Independent Samples: One-Way Analysis of Variance
* Factorial Analysis of Variance: Two-Way ANOVA
* Chi-Square and Frequency Data
* Some (Almost) Assumption-Free Tests
* Review of Basic Mathematics
* Answers to Questions and Problems
* Statistical Tables
- All chapters have been edited to enhance clarity and flow, to simplify numbers in worked problems, and to increase behavioral science examples.
- Estimation procedures are introduced earlier, and are more systematically integrated into subsequent chapters.
- The discussion of effect size has been expanded.
- The chapter on probability has been streamlined to focus on the basics needed for understanding statistical inference.
- Covariance is more closely examined in the development of the Pearson correlation coefficient.
- Discussion of statistical power has been simplified to focus on its meaning and importance, and the factors affecting it.
- The chapter on assumption-free tests now includes Spearman's rho.
- Clear, comfortable, and non-threatening writing style without sacrificing accuracy and technical detail.
- Step-by-step calculations for worked problems.
- Integration of estimation procedures with traditional hypothesis testing.