
- 673 pages
- English
- PDF
- Available on iOS & Android
Statistical Methods
About this book
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection.* Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions* Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software* Examples are worked to a logical conclusion, including interpretation of results* A complete Instructor's Manual is available to adopters
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Information
Table of contents
- Front Cover
- Contents
- Preface
- Chapter 1. Data and Statistics
- Chapter 2. Probability and Sampling Distributions
- Chapter 3. Principles of Inference
- Chapter 4. Inferences on a Single Population
- Chapter 5. Inferences for Two Populations
- Chapter 6. Inferences for Two or More Means
- Chapter 7. Linear Regression
- Chapter 8. Multiple Regression
- Chapter 9. Factorial Experiments
- Chapter 10. Design of Experiments
- Chapter 11. Other Linear Models
- Chapter 12. Categorical Data
- Chapter 13. Nonparametric Methods
- Chapter 14. Sampling and Sample Surveys
- Appendix A.
- Appendix B. A Brief Introduction to Matrices
- References
- Solutions to Selected Exercises
- Index
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