STAT 662 Official Web Page

Statistics 662 Official Web Page

Applied Multivariate Analysis-- Spring 2007
Section 001 Thursday 7:20-10:00 PM Science and Tech 1--Room 120

Announcements: (Please use this link to find any important announcements about this course.)

Office:
Sci-Tech II--Room 147

Phone:
(703) 993 - 1690 (You can leave a message on my voice mail if I am not in the office. I will get back to you as soon as possible.) You may also use email. My email address is jmiller@gmu.edu.

Office Hours:
By mutually convenient appointment. Regular hours may be scheduled.

Syllabus: You will find a copy of the course syllabus by clicking on the link to the left.

Text: Applied Mu.tivariate Statistical Analysis, 5th Edition, Johnson and Wichern.

Potential Supplement:
The Little SAS Book, Delwiche and Slaughter. This will help those of you who are not familiar with the SAS data step or SAS programming in general.

Handouts: Extensive handouts will be distributed to enhance your learning in this course. Handouts will be given out via email. Hence, you must have an email address where you can receive the handouts. You may get an account at gmu to serve this purpose or you may use a work or personal email address. You will need Adobe Acrobat Reader to read and print the handouts. You can download a free copy of Acrobat Reader using the following link: Free Adobe Acrobat Reader download

Course Goals: When you have completed this course, you should be comfortable with the concepts of multivariate statistical analysis. You should be able to perform multivariate statistical procedures on your own data. You should understand how and why the procedures work. (That is why we cover matrix algebra!) For complicated analyses, you should understand enough to be able to explain things to a competent professional who can assist you in performing the analyses. The topics you should understand after taking this course include but are not limited to the following: principle components, T tests, canonical correlation, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance and covariance, classification/discriminant analysis, factor analysis, cluster analysis, and multidimensional scaling.

Assignments: There will be homework assigned every week. There will be two tests plus a final exam. The first test will be on matrix algebra, the second on applications, and the final will be comprehensive. The tests will each have an in class and a take home part. We will also have in class quizzes. Homework will not be graded, but not doing the homework will seriously inhibit your ability to do well on the tests and quizzes.

Computing:
We will use the SAS® System to perform the analyses required for this course. There are two options available to you to access SAS. The first option is to use SAS on any of several PCs at GMU. Several GMU labs have SAS installed (several don't).

The second option is to obtain a copy of SAS to use on your home computer. You work through Patriot Computers (the GMU Computer Store in the Johnson Center). There is a modest fee for this privilege, but may be well worth the investment in terms of time savings for you. The use of other statistical computing packages is not supported, and in fact I strongly discourage anyone from attempting to do this course without using SAS.

Make sure you allow enough time to get your assignments done. If you wait until the last moment to begin your assignments, you may very likely not have enough time to finish. The learning experience in this course depends strongly on the fact that you do the homework from week to week.

Timing: Exam I will be given out February 15 and be due back February 22. Exam II will be given out March 8 and be due back March 22. The first part of the final exam will be given out April 19 and be due back May 3. The second part of the final exam will be given out April 26 and be due back May 10. Take-home tests are due at the beginning of class. In-class tests will be held February 22, March 22, and May 10, respectively. Quizzes may be given any time, either with or without prior announcement. All in-class work is closed book unless otherwise specifically announced.

Potential Class on March 15: We may have a class on March 15 (and not have a class on some later date). If you have already scheduled a vacation trip for March 15, a videotape will be available for you to view.

This page was last modified January 24, 2007 .