|
Office: |
HH-210 |
|
Telephone: |
905 525-9140 x 23423 (24-hour Voice Mail) |
|
e-mail: |
Monday 9:30 & 12:30, Wednesday 9:30 & 12:30, Friday 11:30.
Please come at the start of the hour. Other times by appointment.
Don't hesitate to contact me by telephone, voice mail, or e-mail any time you need help. If you need to see me at any time and my office door is open, I will see you then if I can, or arrange a time to meet later.
Become fluent in the theory, application and calculation of multivariate statistical methods.
We will work through Chapters 1 to 8 of Srivastava in detail, then, as time permits, we will cover selected topics from Chapters 9 and 11.
Srivastava, Muni. Methods of Multivariate Statistics, Wiley.
Cody, R.P. & Smith, J.K. (1997) Applied Statistics and the SAS Programming Language, Prentice Hall.
Elliott, R.J. (2000) Learning SAS in the Computer Lab, Second Edition, Duxbury
Spector, P. (1994) An Introduction to S and S-Plus, Duxbury.
Copies of the lecture notes will be available from the Instructor.
Check the course web site at http://www.math.mcmaster.ca/peter/s4m03/s4m03_0304 regularly for announcements, assignments, course notes, and answers to frequently-asked questions.
Students are expected to use computers in this course. The course text gives SAS instruction. All of the methods studied are available in SAS, Splus and R, and some instruction in these packages will be given. Students are encouraged to explore other packages such as MINITAB and SPSS.
Our Splus licence allows students to install Splus on their home computers. See the instructor to borrow the installation disk.
It is each student's responsibility to keep up to date with the course by working ahead in the text. Each chapter of the text has worked examples and lots of problems.
Three assignments will be handed in for grading. Some of the assignment questions will involve the data sets on the data disk that accompanies the text; this will give you some experience in "real-world" applications of statistics.
Students may work in pairs and submit a single copy of any assignment, in which case both students will receive the same mark.
Aids permitted: Any calculators; any tables, books and notes.
2003-10-30 (Thursday)
19:00-20:30
BSB-304
2003-11-20 (Thursday)
19:00-20:30
JHE-326H
There will be a formal 4-hour examination in December. The examination will be held in the BSB computer laboratory so that you can use SAS, R and Splus for your calculations and graphs.
Aids permitted: Computers; any calculators; any tables, books and notes.
All assignments will be counted. Only the better of the two tests will be counted. The final mark will be the best of the following four calculations:
(A) 100% Exam; (B) 80% Exam + 20% Assignments; (C) 80% Exam + 20% Tests; (D) 60% Exam + 20% Assignments + 20% Tests.I will review all "borderline" marks and possibly make further adjustments.
Graduate students taking Statistics 6M03 for graduate credit must EITHER lead a 50-minute class OR submit a written report on any ONE of the following: (1) a topic that was not covered in class by the instructor; (2) the analysis of a multivariate data set (in which case the report should be a plain-language consultant's report); (3) a recent journal article on a topic of current research in multivariate methodology.
This additional work will count for 10% of the graduate student's final mark. The Statistics 4M03 mark computed from assignments, tests and examinations by the grading scheme shown above will count for 90%.
We remind you of the Statement on Academic Ethics found in the Senate Policy Statements distributed at registration and available in the Senate Office. Any student who infringes one of these resolutions will be treated according to published policy.