STA442/2101F: Applied Statistics I
Final Exam: Friday, Dec. 17, 2-5 pm STVLAD
|HW 1||Sept 28||Oct 13||15%|
|HW 2||Oct 13||Nov 3||20%|
|HW 3||Nov 3||Dec 1||25%|
Note re grading: The three homework sets are of equal difficulty, but I have found that students improve quite a bit during the course, as they get more experience with the requirements and the background.
Text: The course text is Statistical Models by A. C. Davison (Cambridge University Press). Two very good adjuncts are Data Analysis and Graphics using R by Maindonald and Braun and Linear Models with R by Faraway. Your STA 302 text, or any linear regression text, should also be helpful, and I will provide additional references during the course.
Course web page(s): I am using Blackboard to manage the course lists and grades, but the course information is all on the web page http://www.utstat.utoronto.ca/reid/442F10.html. The Blackboard pages for both STA442F and STA2101F will lead you to this page via the first announcement.
Computing: You are welcome to use the statistical computing package of your choice, but I will refer exclusively to the R computing package. Statistics Dept graduate students can access R on the Statistics Dept computers; undergraduate students can access R on CQUEST. Alternatively, students can install R on the computer(s) of their choice, by downloading its ”base” package (for free) from probability.ca/cran or www.r-project.org. There are many helpful introductions to R listed on the course webpage.
Contact: Nancy Reid: SS 6002A, email@example.com, 978-5046.
Tuesday 4 to 5, Wednesday 4 to 5, or by appointment.