STA 429/1007 S 2007

Statistics for the Life and Social Sciences

University of Toronto, Winter 2007

Lecture Monday and Friday 12:10 p.m. - 1:00 p.m., Room 1072, Sidney Smith Hall

Optional Tutorial Friday 9:10 a.m. - 10:00 a.m., Room 1072, Sidney Smith Hall

This page is under construction, and will be updated frequently throughout the course.

I will be available Friday April 13th in the tutoral, office hours and class as usual. I mistakenly thought Monday was our last class meeting. Sorry for the confusion. So, if anybody wants to talk about the final projects or anything else, I will be available. If you see any oher students from the class, please let them know.

The final project for STA1007 is due Thursday April 19th. See the Guidelines for details.

• Course Outline
• Guidelines for the final project: STA1007 students only
• Assignments
  1. Assignment 1: Quiz on Friday Jan. 19th at 12:10 p.m.
  2. Assignment 2: Instead of a quiz, you will hand in printouts of your log file and list file on Friday Jan. 26th at 12:10 p.m.
  3. Assignment 3: Quiz on Friday Feb. 2nd at 12:10 p.m. Bring your log file and your list file.
  4. Assignment 4: Quiz on Friday Feb. 9th at 12:10 p.m. Bring your log file and list file.
  5. Assignment 5: Quiz on Friday Feb. 16th at 12:10 p.m. Bring your log file and list file.
  6. Assignment 6: Quiz on Friday March 2nd at 12:10 p.m. Bring your log file and list file.
  7. Assignment 7: Quiz on Friday March 9th at 12:10 p.m. Bring your log file and list file.
  8. Assignment 8: Quiz on Friday March 16th at 12:10 p.m. Bring your log file and list file.
  9. Assignment 9: Quiz on Friday March 23d at 12:10 p.m. Bring your log file and list file.
  10. Assignment 10: Quiz on Friday March 30th at 12:10 p.m. Bring your log file and list file.
  11. Makeup Assignment: Quiz on Monday April 9th at 12:10 p.m. Bring your log file and list file. You may also turn in the assignment if you can't make it, but the deadline is the same. See assignment for details.
• Computer handouts Please print these and bring them to class. You may want to write notes on them during lecture.
  1. Handout 1: Reading the SENIC data and doing some elementary tests.
  2. Handout 2: Controlling for a variable by subdivision: The Berkeley data.
  3. Handout 3: Regression, Part One.
  4. Handout 4: Regression, Part Two -- Test equality of slopes.
  5. Handout 5: Logistic Regression.
  6. Handout 6: Tubes data -- one-way ANOVA with contrasts and multiple comparisons (also called post-hoc tests, follow-up tests, or probing).
  7. Handout 7: Potato data -- two-way ANOVA with contrasts and multiple comparisons
• Online Textbook
  • Chapters 1 through 3
  • Chapter 4 (Multiple Regression)
  • Chapter 5 (Logistic Regression Draft: No SAS example)
  • Chapter 6 Follow-up tests in one-way ANOVA.
  • Chapter 7 Factorial ANOVA, mostly using dummy variable regression. Also choice of sample size.
  • Chapter 8 Multivariate and repeated measures.
  • Chapter 9 Introduction to R.
  • Chapter 10 Computer-intensive tests using R.
  • The whole online text In a single PDF file.
• Link to the cquest Website.
• About computing in this course.
• Programs and data sets from lectures and the online text. This collection will grow throughout the course. If you are copying and pasting SAS or R code, it is better to do it from here rather than from the online textbook. The online text is in PDF format, and PDF documents contain invisible characters that can create trouble.