STAT 701 (Applied Statistics II)

### Instructor

David Hitchcock, assistant professor of statistics

### Syllabus

Syllabus: (Word document) or (pdf document)

### Office Hours -- Spring 2007

Mon 10:00-10:50, Tue 1:30-2:30, Wed 10:00-10:50, Thu 11:00-12:00.
Please feel free to make appointments to see me at other times.

Office: 209A LeConte College
Phone: 777-5346
E-mail: hitchcock@stat.sc.edu

### Class Meeting Time

MWF 11:15AM-12:05PM, LC 210A

Current Textbook: Applied Linear Statistical Models, 5th edition, by Kutner, Nachtsheim, Neter and Li (4e: J. Neter, M.H. Kutner, C. Nachstheim, and W. Wasserman).

Course Description: 701—Applied Statistics II. (3) (Prereq: STAT 700 or consent of department) Continuation of STAT 700. Simple linear regression, correlation, multiple regression, fixed and random effects analysis of variance, analysis of covariance, experimental design, some multivariate methods, various statistical packages. Not to be used for M.S. or Ph.D. credit in statistics or mathematics.

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.

 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, 8.1-8.2 (4e:7.7-7.8) 3 weeks Model building; Collinearity and influence; regression diagnostics 9.1, 9.4 (4e: 8.1, 8.4), 11.1 (4e: 10.1), 10.1-10.5 (4e: 9.1-9.5) 1 week One-factor ANOVA, multiple comparisons, random effects models 16.1-16.8 (4e: 16.1-16.11), 25.1 (4e: 24.1), 17.1-17.7 1.5 weeks Two-factor crossed ANOVA; fixed, random, and mixed models 19.1-19.7, 19.8-19.9 (4e: 20.1-20.3), 20.1-20.2 (4e: 21.1-21.2), 23.1-23.4 (4e: 22.1-22.4), 25.1-25.4 (4e: 24.1-24.4) 2.5 weeks Randomized complete block designs, balanced incomplete block designs, Latin square 21.1-21.5 (4e: 27.1-27.5), 28.1-28.2 (4e: 27.8, 27.11, 27.13), 28.3-28.6 (4e: 30.1-30.5) 1.5 weeks Analysis of Covariance 8.5 (4e: 11.2), 22.1-22.3 (4e: 25.1-25.3) 1 week Nested Analysis of Variance 26.1-26.7 (4e: 28.1-28.7) 1.5 weeks

Available Computing Resources: R is available as a free download from the CRAN home page) and students who want SAS can buy a copy from USC Computer Services.
These packages are also available on the computers in the labs in LeConte College (and a few other buildings). Help in using R can be found on the CRAN home page.

### Computing Tips: Some Review

Computer Code for Class Examples

Data Sets

Homework

SAS Code for Homework

(Past students can email me for these files.)