STA 429/1007 Fall 2004

Statistics for the Life and Social Sciences

University of Toronto, Fall 2004

Tuesday 10:10-11:00 and Thursday 10:10-12:00, Room 1070, Sidney Smith Hall

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

Assignment 10 is posted.

Handout 14 is available.

Handout 15 is available.

Final Project or Exam: Regardless of what the course outline may say, every student, graduate or undergraduate, may choose between doing a project and taking the final exam. No one has to do both. Here are some discussions. I'm not going to edit them any more. If you have questions, let's talk.

• Final Project
• Final Exam

• Course Outline
• Assignments
  1. Assignment 1: Quiz on Thursday Sept. 23d at the beginning of class.
  2. Assignment 2: Quiz on Thursday Oct. 7th at the beginning of class.
  3. Assignment 3: Quiz on Thursday Oct. 14th at the beginning of class.
  4. Assignment 4: Quiz on Thursday Oct. 21st at the beginning of class.
  5. Assignment 5: Quiz on Thursday Oct. 28th at the beginning of class.
  6. Assignment 6: Quiz on Thursday Nov. 4th at the beginning of class.
  7. Assignment 7: Quiz on Thursday Nov. 11th at the beginning of class.
  8. Assignment 8: Quiz on Thursday Nov. 18th at the beginning of class.
  9. Assignment 9: Quiz on Tuesday Nov 30th at the beginning of class.
  10. Assignment 10: Quiz on Tuesday Dec 7th at the beginning of class.
• Computer handouts Please print and bring to class. You may want to write notes on them during lecture.
  1. Handout 1: Reading the SENIC data and doing some elementary tests. Because I forgot to mention printing the handouts and bringing them to class, I will provide hard copy of this one. You should not need to print your own copy unless you miss the second class meeting.
  2. Handout 2: Read and clean the Math data.
  3. Handout 3: Control by Subdivision (The Berkeley data)
  4. Handout 4: Regression Example 1 (The Math data)
  5. Handout 5: Regression with categorical Independent Variables
     • Long Version, including complete list file.
     • Shorter Version (All you really need).
  6. Handout 6: Custom tests and contrasts in factorial ANOVA (The Potato data)
  7. Handout 7: More with proc glm, including easy Analysis of Covariance and nested fixed-effects models. As a special bonus, we also have what went wrong with the if statements applied to character-valued categorical variables. This is fairly low intnsity, and you might want to consider printing just the program file (first page).
  8. Handout 8: Random effects and nesting with proc glm, proc varcomp and proc nested.
  9. Handout 9: Introduction to logistic regression.
  10. Handout 10: More logistic regression: Tie up some loose ends.
  11. Handout 11: Logistic regression with More than Two Response Categories
  12. Handout 12: Loglinear models
  13. Handout 13: Multivariate regression and ANOVA
  14. Handout 14: Structural Equation Models Part One
  15. Handout 15: Structural Equation Models Part Two (Trying to fit non-identified models)
• Online Textbook
  • Chapters One and Two
  • Chapter Three
  • Chapter Four
  • Chapter Five (Draft)
  • Chapter Five (Draft)
  • Loglinear Notes
• Link to the cquest Website.
• More about computing in this course.
• SAS programs and data sets from lectures and the online text. This collection will grow throughout the course. If you are copying and pasting SAS 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.

If you are connecting from a computer not located on campus, you may need to download Adobe Acrobat Reader (free software) in order to see the online text and some assignments.