STA 442/1008: Methods of Applied Statistics

University of Toronto at Mississauga, Fall 2005

Lecture: Monday and Wednesday 10:10-11:00 a.m., Room 144, North Building

Tutorial: Friday 10:10-11:00 a.m., Room 3101M, South Building

Unofficial Marks: Yes, these marks are unofficial. As you may know, marks are not assigned by professors. They are assigned by the Department Chair. These are the marks that I will recommend.

Final Exam Information and Assignment: This page contains information and hints about the final, and also some assignments that you should do to prepare. The final exam page is now complete.

When trouble with tuzo occurs, please send email to admin@utm.utoronto.ca, and   not  to Andrew Wang any more. This way, if the trouble happens some time when Andrew is off duty, someone else can take care of it.

• Course Outline
• Assignments
  1. Assignment 1: Quiz on Friday Sept. 23d in tutorial.
  2. Assignment 2: Quiz on Friday Sept. 30th in tutorial.
  3. Assignment 3: Quiz on Friday Oct. 14th in tutorial.
  4. Assignment 4: Quiz on Friday Oct. 21st in tutorial.
  5. Assignment 5: Quiz on Friday Oct. 28th in tutorial.
  6. Assignment 6: Quiz on Friday Nov. 4th in tutorial.
  7. Assignment 7: Quiz on Friday Nov. 11th in tutorial.
  8. Assignment 8: Quiz on Friday Nov. 18th in tutorial.
  9. Assignment 9: Quiz on Friday Nov. 25th in tutorial.
  10. Assignment 10: Quiz on Friday Dec. 2nd in tutorial.
  11. Assignment 11: Quiz on Friday Dec. 7th in tutorial.
• Online Text:
  • Chapters One and Two
  • Chapters Three and Four
  • Chapter 5
  • Chapter 6
• In-Class Overheads (Please print and bring to lecture)
  • Handout 1: Read, label and clean the math data. This handout goes with Chapter 2.
  • Handout 2: Basic descriptive statistics and inter-rater agreement (a kind of reliability) for the math data. Also readig data in fixed format with blank=missing, skipping lines at the beginning of a data file, etc. This handout goes with Chapter 2.
  • Handout 3: Explore the math data with elementary tests. This handout goes with Chapter 2.
  • Handout 4: Illustration of the subdivision approach to experimental control, using the Berkeley data. This handout goes with Chapter 3.
  • Handout 5: Multiple regression with the Math data: Part I.
  • Handout 6: Regression Part II: Stepwise variable selection.
  • Handout 7: Replicate a prediction.
  • Handout 8: Replicate a collection of tests, using a Bonferroni correction.
  • Handout 9: Two-way Analysis of variance on the Potato data.
  • Handout 10: Choosing sample size.
  • Handout 11: Multivariate analysis of variance (MANOVA)
  • Handout 12: Repeated Measures Part I
  • Handout 13: Repeated Measures Part II
  • Handout 14: Repeated Measures Part III (new version as of Tuesday Nov. 29th)
  • Handout 15: Repeated Measures Part 4
• SAS Programs and data files from text and lecture. Data files for homework assignments will also be available here.

  Note that if you are copying my sas code (you are always free to do so), it is better to copy and paste from here than directly from the online text or overhead handouts. Because they are in pdf format, the online text and the handouts are full of invisible characters that cause strange error messages -- and are very hard to track down, because you cannot see them.

• Computer Resources
  • Computer hints: This contains mostly local stuff.
  • Unix Handouts and Sample SAS Programs
  • UTM Computing Services
  • UTORDIAL: Inexpensive University Internet Access
  • SSH: Secure SHell, needed to connect to tuzo or credit from home PC.
    • Bare Bones (All you really need)
    • Fuller version
  • Adobe Acrobat Reader: If you are connecting from a computer not located on campus, you may need to download this free software to see and print some materials, including the online text. Many newer computers come with Acrobat Reader pre-installed, so you may want to check your computer before downloading it.

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