Course Homepage: Spring 2007   (Past Pages: Spring 2002, Spring 2000 )

Usually Offered: Spring Semesters

Purpose: To expand the methodological abilities of future scientists in the experimental, social, and professional sciences beyond what is usually learned in a basic course.

Current Textbook: Applied Linear Statistical Models (5th edition), by Kutner, Nachtsheim, Neter and Li. McGraw-Hill/Irwin, 2004.

 

Topics Covered	Chapters	Time
Review of simple linear regression and correlation	1.6-1.8, 2.1, 2.4, 2.6-2.10	1 week
Multiple linear and polynomial regression: model fitting, formal inferences	6.1-6.7, 6.9, 7.1-7.4, 7.6-7.8	3 weeks
Model building; Collinearity and influence; regression diagnostics	8.1, 8.4, 10.1, 9.1-9.5	1 week
One-factor ANOVA, multiple comparisons random effects models	16.1-16.11, 24.1, 17.1-17.7	1.5 weeks
Two-factor crossed ANOVA; fixed, random, and mixed models	19.1-19.7, 20.1-20.3, 21.1-21.2, 22.1-22.4, 24.1-24.4	2.5 weeks
Randomized complete block designs, balanced incomplete block designs, Latin square	27.1-27.5, 27.8, 27.11, 27.13, 30.1-30.5	1.5 weeks
Analysis of Covariance	11.2, 25.1-25.3	1 week
Nested Analysis of Variance	28.1-28.7	1.5 weeks

The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures.  

Contact Faculty: Don Edwards, Brian Habing
(Last Updated: July 11, 2008)