Description
Book SynopsisA multidisciplinary approach that emphasizes learning by analyzing real-world data sets This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of actual data sets.
Trade Review"…a nice reference text for programs offering a major in statistics…" (
Technometrics, November 2006)
"…an excellent approach to linear models and statistical interference." (CHOICE, September 2006)
"...a very solid introduction to linear models." (MAA Reviews, October 19, 2005)
Table of ContentsIntroduction: Statistical Questions.
1. Data: Plots and Location.
2. Data: Dispersion and Correlation.
3. Random Variables: Probability and Density.
4. Random Variables: Expectation and Variance.
5. Statistical Inference.
6. Simple Linear Models.
7. Linear Model Diagnostics.
8. Linear Models: Two Independent Variables.
9. Linear Models: Several Independent Variables.
10. Model Building.
11. Extended Linear Models.
Appendix A: Data References.
Appendix B: MINITAB Reference.
Appendix C: Introduction to Linear Algebra.
Appendix D: Statistical Tables.
References.
Index.
