STA442/2101f16 Final Exam Information
Note: This information applies only to the regularly scheduled exam, not the special deferred exam.
Time and Location
The final exam will be on Wednesday DEcember
14th from 9a.m. to 12 p.m.. It seems that students with family names A-F
will be in HA 401, while students with family names G-Z will be in HA
403. I have been told that this applies to both graduate and undergraduate
students.
Office Hours for the Final
- Wednesday Dec. 7th, 11-1 Room 6004, Sidney Smith Hall
- Tuesday Dec. 13th, 11-1: Room 1072, Sidney Smith Hall
Format
You will write your answers on the question paper. The exam will be closed book and closed notes. You should bring a calculator (any kind is acceptable unless it has communications capability). Pencil is okay.
There are 9 questions, occupying 11 pages including the cover page, R
printout and space for you to write the answers. Many of the questions have
more than one part. The questions are not equally difficult, and not
equally time-consuming. The questions on assignments and quizzes are a good
indication of what to expect. It is a three-hour exam. I believe some people will be walking out after
2.5 hours.
Coverage
The final exam is cumulative. What you are supposed to be
able to do is indicated by the assignments. If you are wondering whether
you're responsible for something, look in the assignments. If it's asked,
you're responsible for it. If it's not asked, then you may safely disregard
it. This applies to concepts and methods of course, not the exact wording
of the questions.
A partial exception to the rule above is Assignment One, which was
review. Nothing from Assignment One will directly be on the final exam
unless it also appears on a later assignment. Of course
the knowledge needed to do Assignment One is assumed.
Twenty-five points out of 100 will be based on computer output. You will not be asked to write any R code on the final. You will answer questions based on my R input and output. This will consist of basic analyses two data sets:
- The pig weight data: Pigs are routinely given large doses of antibiotics even when they show no signs of illness, to protect their health under unsanitary conditions. Pigs were randomly assigned to one of three antibiotics. Dressed weight (weight of the pig after slaughter and removal of head, intestines and skin) was the response variable. Mother's and father's live adult weight were used as covariates. You can read the data into a data frame with
pigs = read.table("http://www.utstat.utoronto.ca/~brunner/data/legal/pigweight.data.txt") .
- The tooth growth data: This is a built-in R data set. See help(ToothGrowth) for details.
To prepare for this part of the exam, you should do some reasonable, predictable things like what I did in lecture and what you did in the homework. Think about what the results mean. That way you will be able to understand what I did a lot more rapidly and easily. Be able to draw plain-language, directional conclusions. At the very least, familiarize yourself with the data and understand what all the variables are. This is important because we will not answer questions about the data during the exam.
Quizzes with answers. For quizzes one through nine, there will be no further discussion of marking now that my answers are public.
Past exams
- 2011: Ignore Questions 4, 5, 7, 8
- 2012: Ignore Questions 4, 6, 8
- 2013: Ignore Questions 1 b-e, 5c, 6
- 2014: Ignore Questions 3 and 7