Note: This page is under construction, and will be updated frequently throughout the term.
Final Exam is THU 12 DEC 2-5 PM in GB 304
Office Hours for the Final: Monday Dec 9th 11:10-1 and Wednesday Dec. 11th 12:10-2 in the conference room (6027A).
Board material from office hours on Thursday Dec. 5th (Assignment 12) is posted HERE.
Assignment 12 is posted below. It covers material between Assignment 11 and the end of term. The final exam may or may not include materiual like this.
Final formula sheet is posted below.
Old final exams (Handle with care)
- 2012 Final Exam: Ignore Questions 3e, 3f, 4, 6.
- 2011 Final Exam: Ignore Question 8.
- 2011 Final Printout: There will be nothing like this in 2013. Any printout will be on the exam paper.
Quiz solutions
- Quiz 1
- Quiz 2
- Quiz 3
- Quiz 4
- Quiz 5
- Quiz 6
- Quiz 7
- Quiz 8 was to hand in first try at SAS.
- Quiz 9
- Quiz 10
- Quiz 11
- Course Outline
- Formula Sheet
- Computing Resources: Information and Links.
- Assignments
- Assignment One (Mostly review): Quiz on Friday Sept. 20th. Bring a calculator.
- Assignment Two: Quiz on Friday Sept. 27th. Bring a calculator.
- Assignment Three: Quiz on Friday Oct. 4th. Bring a calculator.
- Assignment Four: Quiz on Friday Oct. 11th. Bring a calculator.
- Assignment Five: Quiz on Friday Oct. 18th. Bring a calculator.
- Assignment Six: Quiz on Friday Oct. 25th.
- Assignment Seven: Quiz on Friday Nov. 1st.
- Assignment Eight: Quiz on Friday Nov. 8th.
- Assignment Nine: Quiz on Friday Nov. 15th.
- Assignment Ten: Quiz on Friday Nov. 22nd.
- Assignment Eleven: Quiz on Friday Nov. 2th.
- Assignment Twelve: Final exam on Thursday Dec. 12
- Lecture Overheads You should at least look at the slides before lecture. Some students print selected slides, bring them to class, and write notes on them during lecture.
- Introduction to R
- Statistical Introduction
- Large Sample Tools
- Random Vectors
- Large Sample Chi-squared Tests: Part One
- Bootstrap
- Bootstrap with R
- Likelihood Part One
- Likelihood Part Two
- Wald Tests with R
- The Zipper Example
- Regression Part One
- Regression with R
- Missing values in R
- SAS overview
- Brief unix-emacs handout
- First look at the math data with SAS
- Basic descriptive statistics on the math data
- Illustrating %include and ods pdf output
- Regression on the Math Data with SAS: Indicator dummy variables, Custom tests with proc reg, Proportion of remaining variation, Variable selection.
- Omitted Variables
- Regression Part Two
- Tubes with SAS
- Cars with SAS (Rough 2012 version)
- Logistic Regression Part One (Rough 2012 version)
- Logistic regression with R (Rough 2012 version)
- Factorial ANOVA (Rough 2012 version)
- Factorial ANOVA with SAS
- Random effects and nested models
- Random, mixed and nested models with SAS.
- Textbooks: These are available in PDF format free of charge. The texts are mostly for background reading, in case you want a more detailed treatment of material that is covered in lecture, or you want to go beyond what is covered in lecture.
- Statistical models (2003) by A. C. Davison. This is the place to look if you want the real truth about almost any applied statistical topic.
- Linear models in statistics (2008) by A. C. Renscher and B. G. Schaalje. A strong masters level regression text. It's narrower than Davison, but more complete in terms of the proofs.
- Data analysis with SAS (2012) by J. Brunner. This is a free, open source undergraduate text emphasizing verbal rather than mathematical reasoning, with lots of SAS examples. It's a draft, still in preparation but possibly useful at times.
- Introduction to R by Venables, Smith and others. This free 100 page document is very helpful if you plan to do any serious work with R.
- Data sets from homework and lectures. Some R and SAS program files from lecture are also available here.
All course materials prepared by Jerry are licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Source code is available above.