Tutorials are in the North Building Friday 10:10-11:00 in NE 174, and 12:10-1:00 in NE 140.
Note: This page is under construction, and will be updated frequently throughout the term.
Office Hours for the final exam
- Monday April 7th: 11am-1pm
- Wednesday April 9th: 2pm-4pm
- Tuesday April 15th: 11am-1pm
- Wednesday April 16th: 11am-1pm
For the quiz that I missed: Your highest mark on the other quizzes will be substituted. This is simpler than the option I described in lecture.
The posted formula sheet is the version you will get with the final exam.
Regular Assignment 4 is complete. I added a question (now numbered 6) to the beginning of the analysis of covariance section. It caused all the following questions to be re-numbered. Sorry about that, but it just belonged there.
There is one more computer assignment for the regular final exam.
- Syllabus
- Formula Sheet
- Computing Resources: Information and Links.
- Regular Assignments (Paper and pencil, not handed in, preparation for term tests and final exam)
- Regular Assignment One (Mostly review): Term Test One on Feb 3d
- Regular Assignment Two: Term Test One on Feb 3d
- Regular Assignment Three: Term Test Two on March 10th
- Regular Assignment Four: Final exam on Wednesday, April 16th
- Computer Assignments Log and procedure output files will be handed in with the quizzes. There will also be SAS output on the final exam.
- Computer Assignment One: Computer Quiz 1 on Jan. 20th.
- Computer Assignment Two: Computer Quiz 2 on Jan. 27th.
- Computer Assignment Three: Computer Quiz 3 on Feb. 24th.
- Computer Assignment Four: Computer Quiz 4 on March 3d.
- Computer Assignment Five: Computer Quiz 5 on March 17th.
- Computer Assignment Six: Computer Quiz 6 on March 24th.
- Computer Assignment Seven: Computer Quiz 7 on March 31st.
- Computer Assignment Eight: For the regular final exam
- Lectures Less than half the lectures will be on overheads; the rest will be hand-written on the board.
- SAS overview
- Unix/linux and emacs handouts
- unix handout (short version)
- emacs handout (short version)
- Regression analysis of the math data using SAS.
- Introduction to experimental design
- Estimating a treatment effect
- Analysis of variance methods for a one-factor completely randomized design
- ANOVA methods (including contrasts and multiple comparisons) on the tubes data with SAS.
- Permutation tests with SAS. Unfortunately we're going to skip this and you are not responsible for it.
- Factorial ANOVA
- Factorial ANOVA on the Potato data data with SAS.
- Analysis of Covariance
- Randomized block designs
- Analysis of covariance and Randomized block designs with SAS.
- Choosing sample size
- Readings
- Data analysis with SAS (Draft) by J. Brunner. Selected chapters will be suggested. If you print it, please print only what's suggested for now, because the other parts may change during the term.
- Linear models in statistics (2008) by A. C. Renscher and B. G. Schaalje. It is available in pdf format for free through the U of T library. This was the text in STA302, and is included here mostly for background reference.
- Photocopy 1 from an old textbook: Analysis of variance methods for a one-factor completely randomized design.
- Photocopy 2 from an old textbook: Introduction to block designs
- Data sets and SAS programs from lectures and homework
All course materials prepared by Jerry are licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Source code is available. See the link above for more information.