Phone: (416)-736-5250

Taught by: Professor Gene Denzel

Office: N615 Ross

Office Hours: M,W 9-10 and 3:30-4:30, or by appointment

Web page: http://www.yorku.ca/lezned

Textbook: Linear Statistical Models (Second edition), by Bowerman/O'Connell (look for hard-copy versions in bookstore)

General outline: The course will deal with learning to use linear models to analyse data involving a dependent variable and one or more explanatory variables. The emphasis will be on applications, rather than on the development of the theoretical background. The material covered will mostly be drawn from the first 13 chapters of the text.

Almost all of the work will require use of a computer running SAS or some equivalently capable software. Students should obtain through CCS (using MAYA) an account on the central academic computing system (phoenix) and on the mathematics server for the Gauss Lab. Those with access to a home computer with a modem will probably also want to obtain an account on the York high-speed modem pool, so that work on assignments can be done from home (there is a monthly charge to your STARS account of $10 for months in which the modem pool is used). Printing can be done at all times in the Steacie Library, and much of the time in the Gauss lab, for a charge per page printed.

Students will be expected to check the web pages for the course regularly for assignment details, datasets, hints, solutions, etc.

Grading: The grading in the course will be based on the following breakdown.

Final exam 40%

Quizzes: 20% (best 4 of 5 20-minute quizzes)

Assignments: 10%

Project: 5%

Mid-term: 25%

The project will involve the analysis of a large dataset, and the production of a report describing the analysis and conclusions. It would be preferable to work in groups of 2-3 on the project, and to have the groups work and study together throughout the term. Statistics is most often practiced as part of a team.

Further details on assignments, etc will be available on the course web pages as the Term progresses.