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: 701Applied 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.
|Review of simple linear regression and correlation||1 week|
|Multiple linear and polynomial regression: model fitting, formal inferences||3 weeks|
|Model building; Collinearity and influence; regression diagnostics||1 week|
|One-factor ANOVA, multiple comparisons, random effects models||1.5 weeks|
|Two-factor crossed ANOVA; fixed, random, and mixed models||
23.1-23.4 (4e: 22.1-22.4), 25.1-25.4 (4e: 24.1-24.4)
|Randomized complete block designs, balanced incomplete block designs, Latin square||
28.3-28.6 (4e: 30.1-30.5)
|Analysis of Covariance||1 week|
|Nested Analysis of Variance||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.
Computer Code for Class Examples
SAS Code for Homework
(Past students can email me for these files.)