The 2005 lectures were taped for distribution to off campus students. Those tapes are available here. The material is essentially the same, but the format and schedule were different. The 2005 class was three 90 minute periods per week with no separate lab periond and contingency tables were covered in the middle of the semester instead of the end (2009).

Links to each lecture are in the following calendar. They are labelled by their contents. You are welcome to use these if you miss a class, want a second presentation of material, or prefer to see a person sometimes. Please the 2005 files only as a supplement. Don't ignore the 2009 files; they are the official course presentation.

The RealPlayer Free player is required to read these files. It is free, but you may have to deal with pop-up ads (sorry). The player can be obtained at: RealPlayer. The basic player is sufficient (and free).

Week Monday Weds Friday
1 Aug 22
Intro/Types of studies		 Aug 24
Design-based inference		 Aug 26
Lab: randomization and bootstrap
2 Aug 29
T-tests		 Aug 31
Confidence intervals, Lab: SAS Intro		 Sep 2
Sample size, Power, SAS for t-tests
3 Sept 5
Labor Day, no lecture		 Sep 7
Assumptions and Diagnostics		 Sep 9
Assump. & Diagn. cont.
4 Sept 12
Non-parametric tests, SAS for diagnostics
 Sep 14
Case Study, ANOVA		 Sep 16
ANOVA: SS and ANOVA table
5 Sept 19
ANOVA: contrasts, SAS 		Sep 21
ANOVA: multiple comparisons		 Sep 23ANOVA: assumptions / sample size / blocks
6 Sept 26
RCBD: model, ANOVA, MSE 		Sep 28
RCBD: random blocks 		Sep 30
RCBD: diagnostics, Lie Detector case study
7 Oct 3
Categorical data, through odds ratios 		Oct 5
Discussion 		Oct 7
Contingency tables, Exact test, Paired data
8 Oct 10
Case study and SAS for categorical data; Linear regression 		Oct 12
Linear Regression: estimation and inference 		Oct 14
Linear Regression: diagnostics and lack of fit test
9 Oct 17
Case study and SAS for Linear regression 		Oct 19
Multiple regression, intro 		Oct 21
Multiple Regression:Estimation, tests
10 Oct 24
Geometry of Multiple Regression, SAS 		Oct 26
Geometry (cont.), Interp. slopes, Tests, Collinearity 		Oct 28
Multicollinearity and Assumptions
11 Oct 31
Diagnostics (linearity, equal variance),
SAS for tests, collinearity 		Nov 2
Diagnostics (correlated errors, AR(1), normality) 		Nov 4
Modeling: Constructing X variables
12 Nov 7
Case Studies in multiple regression (Births, Bodyfat) 		Nov 9
Question and Answer for midterm II 		Nov 11
Model Selection: Cp, AIC and BIC
13 Nov 14
Model Selection: Algorithms
Model Validation 		Nov 16
SAS for AR(1), Homework Q/A
Two-way Factorials: SS 		Nov 18
Two-way factorials:
cell means and factor effects models
14 Nov 28
3 way interactions
SAS for factorial ANOVA 		Nov 30
2^K factorials
HW 11 discussion 		Dec 2
Random effects models
Variance components
15 Dec 5
Random effects: tests, variance of mean 		Dec 7
Split plot studies
Factorial design with unequal n 		Dec 9
Discussion of Design case studies
Question and Answer for final