Lecture Tuesday 4:10-6:00 p.m. and
Thursday 4:10-5:00 p.m. in IB235.
Tutorials Friday 5:10-6:00 p.m. in DV2074. Regular quizzes are in tutorial.
Office hours Tuesday 2-3 and Thursday 1-3 in 3028 Deerfield Hall.
Piazza: A good place to share information and insights with other students, as well as getting answers from the instructors and other students:
https://piazza.com/utoronto.ca/fall2022/sta312h5
Note: This page is under construction, and will be updated frequently
throughout the term.
Office hours Wednesday Dec. 14th are in my office, Deerfield 3028. If we have to move to another space I'll leave a note on the door.
More homework solutions are posted; see Information about the final exam. They are incomplete, because I did not write out solutions to every question. I am pretty sure I did prepare complete solutions for Assignment 2, but I can't find them. I will search my office again Wednesday morning.
Exam Jam Questions and answers are posted below under Assignments, though it is not an assignment.
Information about the final exam is updated a bit, with more office hours and the Exam Jam links.
- Syllabus
- Textbook: An
introduction to categorical data analysis (2nd ed.) by Alan
Agresti. It is available in pdf format free through the U of T library.
- Formula Sheet
- Assignments
- Assignment 1: Quiz on Friday Sept. 23d
- Assignment 2: Quiz on Friday Sept. 30th
- Assignment 3: Quiz on Friday October 7th
- Assignment 4: Quiz on Friday October 21st
- Assignment 5: Quiz on Friday October 28th
- Assignment 6: Quiz on Friday Nov. 4th
- Assignment 7: Quiz on Friday November 11th
- Assignment 8: Quiz on Friday November 18th
- Assignment 9: Quiz on Friday November 25th
- Assignment 10: Quiz on Friday December 2nd
- Assignment 11: Just a few more questions
- Review questions from Exam Jam
- Lecture Notes and Overheads: Usually posted after completing the unit.
- Introduction
- Multinomial Distribution
- Contingency Tables, Part 1
- Contingency Tables with R
- Contingency Tables, Part 2
- Fisher's Exact Test with R
- Regression review
- Regression with R
- Logistic Regression, Part 1
- Logistic Regression with R, Part 1
- Better R coding without attach
- Interactions and factorial ANOVA
- Cell means coding, interactions with R
- Factorial ANOVA with R
- Interactions in Logistic Regression
- Logistic regression on the Berkeley Data (interactions) with R
- Poisson Regression
- Poisson Regression with R
- Multinomial Logit Models
- Multinomial Logit with R
- Within cases, normal data
- Within cases, normal data with R
- Binary within cases
- Binary within cases with R
- R Software
- Official
R website, including download
links and instructions.
- Introduction to
R: A very nice 100-page PDF
document. Highly recommended if you are going to be using
R for serious work. You don't really need it for this class.
All course materials prepared by Jerry (lecture notes and overheads, homework
problems, etc.) are licensed under a Creative
Commons Attribution-ShareAlike 3.0 Unported License. Source code is
available.