Lecture Notes

Below are links to lecture notes and R scripts. These are not the actual notes and scripts used during class. These are cleaned up a bit, with annotations added to help you determine what is and is not overly important. Of course it is all important, but some is more important than others.

Note that the R scripts also include some extensions (and practice) to the R script used during the class periods. As such, you really should spend an evening poring over the scripts and running them. This allows you more practice of the materials discussed in the course.

Finally, recordings of the lectures are also provided here. You need to download the file (right-click, Save As...) to your computer and view it from there. Merely left-clicking on the recording link will bring up a page of garbage.

Lecture Topics, Notes, and Scripts

This calendar was last updated on December 6, 2011.

August	23	Forsberg: Ch 1, 2, B; Kennedy: Ch 1, 22	Course introduction, the R statistical environment, showing your work, tests for measures of central tendency, boxplots, validating tests, Monte Carlo techniques
	30	Forsberg: Ch 3, A1, A4; Kennedy: Ch 2	Analysis of Variance, tests for measures of central tendency, tests of Normality, non-parametric tests Research Question due Sunday, Aug 28
September	6	Forsberg: Ch 4, A4; Kennedy: Ch 3, 4	Classical Linear Model, Ordinary Least Squares, assumptions and testing of assumptions, multi-colinearity, homoskedasticity, using Monte Carlo to answer different questions, graphing results
	13	Forsberg: Ch 5; Kennedy: Ch 12, 15	Transformations of dependent variables, using Monte Carlo to answer different questions, graphing results
	20	Kennedy: Ch 6	More with transformations and linear models, cross validation (?)
	27	Kennedy: Ch 17	Mid-Semester Review and Lab I
October	4	None	Presentation of Pseudo Literature Reviews; Hypotheses determined, Pseudo Literature Review finished, and data source(s) identified by Sunday, October 2.
	11	Forsberg: Ch 6, A4; Kennedy: Ch 6	Generalized Linear Models, Gaussian distribution, Akaike and Bayesian information criterias
	18	Forsberg: Ch 7, A1	Binary dependent variables, accuracy, receiver operating characteristic curves, LOOCV (?); Data collected, Data described, and Statistical methods identified by Sunday, October 16.
	25	None	Binary dependent variables, continued; Data Analysis due by Sunday, October 23.
November	1	Forsberg: Ch 8, A2	Count dependent variable, Poisson and Negative Binomial distributions, quasi-likelihood estimation
	8	Forsberg: Ch 9	Multinomial and ordinal response dependent variable Rough Drafts I due
	15	Forsberg: Ch 10, A7	Presentations, Group I: Greene, Russo Rough Drafts II due; Event History Analysis
	22	Kennedy: Ch 19, 20	Presentations, Group II: Gulden, Hewett, Milan, Mwarumba, Standridge
	29	Kennedy: Ch 18	Time Series and Cross-Sectional Time Series analysis
December	6	Kennedy: Ch 22	Final Semester Review and Lab III
	13	Research Paper	Final draft due 8:00 pm

Of course, I reserve the right to alter this schedule as reality dictates.