This book covers the most commonly used nonparametric statistical techniques by emphasizing applications rather than theory. Exercises and examples are drawn from various disciplines including agriculture, biology, sociology, education, psychology, medicine, business, geology, and anthropology. The applications of techniques are presented in a step-by-step format that is repeated for all illustrative examples. Concepts are reinforced with many references to statistical literature to show the relevance to real-world problems. Chapters contain references of available computer programs and software packages that apply to methods presented in the book.
Presents applications of techniques in a step-by-step format that is repeated for all illustrative examples
Reinforces the relevance of concepts with references to statistical literature
Includes techniques such as the Ansari-Bradley disperson test, Lehman contrasts for both the one-and two-way ANOVA layout, and the Lilliefors test for normality
Table of Contents 1. Introduction and Review 2. Procedures That Utilize Data From A Single Sample 3. Procedures That Utilize Data From Two Independent Samples 4. Procedures That Utilize Data From Two Related Samples 5. Chi-Square Tests Of Independence And Homogeneity 6. Procedures That Utilize Data From Three or More Independent Samples 7. Procedures That Utilize Data From Three or More Related Samples 8. Goodness-of-FIT Tests 9. Rank Correlation and Other Measures of Association 10. Simple Linear Regression Analysis