STA 442/1008 F 2008

Methods of Applied Statistics

University of Toronto Mississauga, Spring 2008

Lecture Monday 11:10-12:00 and Wednesday 10:10-11:00 in Room 268, North Building. Tutorial Friday 10:10-11:00 in Room 3093, South Building
Notice that Monday and Wednesday lectures are at different times.

Note: This page is under construction, and will be updated frequently throughout the term.

Christine's office hours for the final exam are 10 a.m. to 12 noon on Monday April 14, Wednesday April 16 and Monday April 21, from 10-12. You can get your Quiz 10 back from her then.

Jerry's office hours for the final exam are 11 a.m. to 1 p.m. on Monday April 14, Wednesday April 16 and Tuesday April 22.

Check your quiz marks HERE

Here is some important Information about the final exam. It was last updated on April 14 around noon. Please keep watching this space, because I may add more information in response to student questions, or maybe I will just think of something more you should know. Additions to the original document are in a section at the end, entitled Afterthoughts.

• Course Outline (Revised, because of the snowstorm)
• Assignments
  1. Assignment 1: Quiz on Friday Jan. 18th.
  2. Assignment 2 (Slightly revised Jan 18th): Quiz on Friday Jan. 25th.
  3. Assignment 3 Quiz on Friday Feb. 8th.
  4. Assignment 4 Quiz on Friday Feb. 15th.
  5. Assignment 5 Quiz on Friday Feb. 29th. Revised Feb. 3d.
  6. Assignment 6 Quiz on Friday March 7th.
  7. Christine's notes on Question 4 of Assignment 6
  8. Assignment 7 Quiz on Friday March 14th.
  9. Assignment 8 Quiz on Friday March 28th.
  10. Assignment 9 Quiz on Friday April 4.
  11. Assignment 10 Quiz on Friday April 11.
• Computer handouts Please print these and bring them to class. You may want to write notes on them during lecture.
  1. Handout 1: Read and check the math data.
  2. Handout 2: Descriptive statistics on the math data.
  3. Handout 3: Screening the math data with elementary significance tests.
  4. Handout 4: One-way ANOVA with contrasts and follow-up tests on the tubes data.
  5. Handout 5: Two-way ANOVA with contrasts and follow-up tests on the potato data.
  6. Handout 6: Nested, Random Effects and Mixed Model ANOVA using the training, mpg and pearls data sets.
  7. Handout 7: Multivariate analysis of variance on the tubes data, including contrasts and multiple comparsons.
  8. Handout 8: Three-factor (unbalanced) MANOVA on the math data.
  9. Handout 9: Multivariate approach to repeated measures on the Monkey data.
  10. Handout 10: Doubly multivariate repeated measures on the tubes data.
  11. Handout 11: Two-factor within-cases analysis of the blood flow data: Multivariate, univariate and covariance structure approaches.
  12. Handout 12: Multiple Regression, including categorical independent variables.
  13. Handout 13: Analysis of Covariance and Cell Means Coding on the Cars Data
  14. Handout 14: Multivariate analysis of covariance on the bunny data
  15. Handout 15: Covariance Structure Approach to Repeated Measures on the Monkey Data
• Quizzes: Solutions/Feedback are a gift from Christine
  1. Quiz 1
     • Questions
     • Solutions/Feedback
  2. Quiz 2
     • Questions
     • Solutions/Feedback
  3. Quiz 3
     • Questions
     • Solutions/Feedback
  4. Quiz 4
     • Questions
     • Solutions/Feedback
  5. Quiz 5
     • Questions
     • Solutions/Feedback
  6. Quiz 6
     • Questions
     • Solutions/Feedback
  7. Quiz 7
     • Questions
     • Solutions/Feedback
  8. Quiz 8
     • Questions
     • Solutions/Feedback
  9. Quiz 9
     • Questions
     • Solutions/Feedback
  10. Quiz 10
      • Questions
      • Solutions/Feedback
• Textbook
  • Chapters 1 and 2
  • Chapter 3
  • Chapter 4
  • Chapter 5
  • Chapter 6
• About computing in this course.
• SAS Documentation
  • SAS/STAT
  • The Whole Manual
• Programs and data sets from lectures and the text. If you are copying and pasting SAS code, it is better to do it from here rather than from the online handouts and textbook. The text and handouts are in PDF format, and PDF documents contain invisible characters that can cause trouble.