Statistical Methods, Third Edition, provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach that emphasizes concepts and techniques for working out problems and intepreting results.
The book includes research projects, real-world case studies, numerous examples, and data exercises organized by level of difficulty. Students are required to be familiar with algebra. This updated edition includes new exercises applying different techniques and methods; new examples and datasets using current real-world data; new text organization to create a more natural connection between regression and the Analysis of the Variance; new material on generalized linear models; new expansion of nonparametric techniques; new student research projects; and new case studies for gathering, summarizing, and analyzing data.
1. Data and statistics 2. Probability and sampling distributions 3. Principles of inference 4. Inferences on a single population 5. Inferences for two populations 6. Inferences for two or more means 7. Linear regression 8. Multiple regression 9. Linear models 10. Factorial experiments 11. Design of experiments 12. Categorical data 13. Generalized linear models 14. Nonparametric methods