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.
- Integrates the classical conceptual approach with modern day computerized data manipulation and computer applications
- Accessibile to students who may not have a background in probability or calculus
- Offers reader-friendly exposition, without sacrificing statistical rigor
- Includes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics
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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
Donna Mohr is a Professor Emeritus of Statistics at the University of North Florida, where she was a colleague of William Wilson. She is an author on 20 scholarly articles on theoretical statistics and its applications. During her decades of teaching statistics, she used both the first and second editions of Freund and Wilson's Statistical Methods, before joining as a co-author in the third edition.
Wilson, William J.