Statistical Methods, Fourth Edition, is designed to introduce students to a wide-range of popular and practical statistical techniques. Requiring a minimum of advanced mathematics, it is suitable for undergraduates in statistics, or graduate students in the physical, life, and social sciences. By providing an overview of statistical reasoning, this text equips readers with the insight needed to summarize data, recognize good experimental designs, implement appropriate analyses, and arrive at sound interpretations of statistical results.
Table of Contents
1. Data and statistics2. 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
