STA 2201S: Applied Statistics II

University of Toronto, Winter/Spring 2004

Tuesday 2-5 pm, Sid Smith Room 1088

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

• Plan for the course.
• Instructor: Jerry Brunner
  • Office: SS 6025B
  • Phone: 416-978-0673
  • email: brunner@utstat.toronto.edu
  • Office hours: THursday 1:00-2:50
• Assignments
  1. Assignment 1: Due Tuesday Jan 20th at the beginning of class. You may want to look at the handout on hypothesis testing and likelihood ratio tests before you begin. If you are rusty enough, you may need to look at an undergraduate Mathematical Statistics text and re-learn how to derive exact likelihood ratio tests.
  2. Assignment 2: There will be a short quiz on Tuesday Jan 27th at the beginning of class. You will need the data file bunnies.dat .
  3. Assignment 3: You will hand this in at the beginning of class on Tuesday Feb. 3d.
  4. Assignment 4: This is due at the beginning of class on Tuesday Feb. 10th.
  5. Revised Assignment 5 (A couple of missing answers have been supplied): Due at the beginning of class on Tuesday March 2nd.
  6. Assignment 6: Due at the beginning of class on Tuesday March 9th. You will need the data file puzzle.dat. There is one row per subject, and one column per puzzle. One means success; zero means failure.
  7. Assignment 7: This is due at the beginning of class on Tuesday March 30.
  8. Assignment 8: You can turn this last assignment in on the last day of class, Tuesday April 6th. Or, you can put it in my mailbox before midnight on Tuesday April 13th.
• Handouts
  • Pieces of r code displayed in class, including all the functions. It's better to copy and paste from here than from the pdf files, because sometimes the pdf files contain invisible characters. This document will continue to grow throughout the class.
  • Hypothesis testing and likelihood ratio tests .
  • Overheads from computer lecture, first class meeting. Hard copy was distributed in class.
  • Introduction to R and S: Overlaps with introductory computer lecture. Does not have the material on regression, but does contain a discussion of power calculation by simulation.
  • Convergence Handout: Theorems about convergence almost surely, in Probability, in Distribution. Revised version, in better outline form.
  • Power Overheads, Set 1: Hard copy was distributed in class, second class meeting.
  • Power Overheads, Set 3: Hard copy was distributed in class. I still can't find Set 2, but most of that material is in rcode.html.
• Technical reports
  • Choosing Sample Size: Draft 1. This is incomplete, and just a beginning. Your comments and suggestions are welcome.
  • Union-Intersection multiple comparisons: Draft 1.1, slightly revised.
• Data
  • mcars.dat .
  • potato2.dat .
  • bunnies.dat .
  • puzzle.dat .
• Computing Resources
  • About Fisher: The Department's public unix machine.
  • Introduction to SAS (Elementary)
  • The S Language
    • Splus (Stat Dept. help page)
    • R
      • Stat Dept. help page
      • R Manual (100 pages, very nice)
      • More about R
      • Get a free copy of R.
  • Adobe Acrobat Reader: Free software; you will need it to see and print some of the handouts and assignments. If you are connecting from a computer not located on campus, you may need to download a free copy.

Go to Statistics Department Website