The 2007 lectures and labs were recorded using Camtasia Studio and distributed as Flash files to off campus students. Those files are available here.

Links to each lecture or lab are in the following calendar. They are labelled by their contents. On campus students are welcome to use these if you miss a class or want to see something again.

If you are having trouble with the streaming video files, the second link in each box is a zip file with the entire directory for that lecture. Download the zip file, unzip it, then double click on the .html file in each folder. That will start the video.

Week Monday Tuesday lab Weds Friday
1 Aug 20
Intro/Types of studies
(ca. 200 Mb file, sorry)
Aug 21
Hands-on randomization test and bootstrap
zip file
Aug 22
Design-based inference
Aug 24
Model-based inference for 2 group comparison
2 Aug 27
HW 1 Q/A, T-tests
Aug 28
SAS intro
Note: Only topic is SAS. Will not be any interest if you don't use SAS.
Aug 29
Sample size, Power
Aug 31
Power in pictures, Independence
3 Sept 3
Labor Day, No lecture
Sept 4
Q/A on HW 2, SAS: proc ttest, using proc glm to get residuals
Sept 5
Unequal variance: diagnosis, effects, start of transformations
Sept 7
Transformations, normality
4 Sept 10
Nonparametric tests, start ANOVA
Sept 11
Auto quality case study, choosing tests, Q/A on HW 3, SAS: Wilcoxon test, ANOVA
Sept 12
ANOVA
Sept 14
Contrasts
5 Sept 17
Multiple comparisons
Sept 18
Lie detector electrodes case study, Interpretation of log transform, Q/A on HW 4, SAS for contrasts, pairwise comparisons.
Sept 19
Philosophy of m.c.p., assumptions in ANOVA
Sept 21
Power for F test and contrasts, Pairing
6 Sept 24
Blocking: interp. of MSE
Sept 25
Lie detector electrodes case study (part 2) Q/A on HW 5, SAS for RCBD
Sept 26
Fixed and random blocks, Inference, Efficiency
Sept 28
Non-additivity, Latin Squares, Regression
7 Oct 1
Least squares estimation, inference on slope
Oct 2
SAS: finding the F test for trts in the output, Q/A on exam I material
Oct 3
Inference for other regression quantities, Calibration, ANOVA table for regression
Oct 5
Assumptions and diagnostics
8 Oct 8
Lack of fit test, Correlation
Oct 9
SAS: linear regression, Q/A on HW 6.
Oct 10
Inference on correlations, Intro to multiple regression
Oct 12
Multiple regression theory
9 Oct 15
Properties of tests, ANOVA table and F tests
Oct 16
Q/A on HW 7, SAS for multiple regression, Geometry of multiple regression
Oct 17
Cb tests, interpretation of coefficients
Oct 19
Multicollinearity, VIF, influential points and outliers
10 Oct 22
Lack of fit, loess smoothing
Oct 23
Lack fit for births data, SAS for regression diagnostics, Q/A on HW 8
Oct 24
Unequal variances: effects, diagnosis, correction
Oct 26
Correlated errors: effects, diagnosis, correction
11 Oct 29
Polynomials and indicator variables
Oct 30
Case study: predicting body fat, Q/A on HW 9.
Oct 31
Contrasts as inidicator variables, ANCOVA, Intro to model selection
Nov 2
I forgot to record an extra minute of no audio at the end of the lecture. I will repeat the last minute or so at the beginning of class Monday. Model selection theory, Adj. R2, C
Alternative version
12 Nov 5
Last bit of AIC material from 2 Nov
Model selection, uses and abuses
Nov 6
SAS for regression model selection, Q/A for midterm II
Nov 7
2 way factorial: terminology, SS and contrast approaches
Nov 9
2 way factorial: model comparison
13 Nov 12
2 way factorial: after the F test, factorials in blocks
Nov 13
Case study: including baseline information in the analysis
SAS for factorial ANOVA
Q/A on HW 10
Nov 14
3 way factorials, fractional factorials
Nov 16: 2 parts
Random effects
Broad and narrow sense inference.
14 Nov 26
Nested and Crossed random effects, subsampling
Nov 27
SAS for random effects and split plot designs.
Q/A on HW 11
Nov 28
Split plot studies
Nov 30
Split plot design, Repeated Experiments, Unequal n (start)
15 Dec 3
Unequal n (finish), missing cells, categorical data (start)
Dec 4
Case studies in constructing models and ANOVA tables (lab 14 examples). Q/A on HW 12.
Dec 5
Inferences on proportions, diff. in proportion, and odds ratio
Dec 7
Contingency tables, Chi-square tests, when not to use a Chi-square test, overview