Homework assignments and practice problems

Final exam from spring 2006 and its answer key. You can replace "Newmann-Keuls" by "Tukey-Kramer" in this exam.
Practice problems with past exam questions (and answer key) and suggested practice problems from the textbook.

The solution key to the group project is here. If you have any further questions for your peer review, please send me email.

Assignments	Solution keys
#11 due Monday May 14. Data sets: nutrient and grassland plant species, earthworms and nitrogen, swine nitrogen balance.	key #11
#10 due April 26. Data set: Lodgepole Pine cones. Files in csv format (columns separated by commas) can be read in R most easily with the function "read.csv". The default bahavior of 'read.csv' is to consider that commans separate columns, and that there is a 'header' (i.e. that the first row does not contain the data but simply the names of the various variables).	key #10
#9 due April 19. Data set in csv format: tsetse learning.	key #9

exam from Spring 2006 and its solution key. Again:

I intend this year's exam to be shorter (intended goal of the group project), and
there will be questions on R that go beyond the interpretation of R's output.

Practice problems with past exam questions (and answer key) and suggested practice problems from the textbook.
Solution key to this year's second midterm exam.

Assignments	Solution keys
#8, due March 29, just before Spring break. Cichlid fish data set (for problem 18). There won't be any assigned homework during Spring break, because the second midterm exam is the Tuesday right after Spring break. The solution key will be posted on Friday March 30. Suggested practice problems will also be posted that day.	key #8
#7, due March 22. Stalkies data set.	key #7
#6 due March 15. Data sets in csv format: vines and clear cuts.	key #6
#5 due March 8.	key #5

Practice problems for midterm 1, exam from Spring 2006 and its solution key.

I intend this year's exam to be shorter (that was the goal of the group project)
there will be questions on R that go beyond the interpretation of R's output.
Hypothesis testing and the binomial test were not part of the material covered on this exam in previous years, but it will be this year.
You may notice a question about stem-and-leaf displays in one of the practice problems (from 2005), but I decided to cover more modern graphing methods this year. So don't expect any stem-and-leaves on the exam.

Solution key to this year's first midterm exam.

Assignments	Solution keys
#4 due Feb. 23. There won't be any assigned homework next week, due to the first midterm coming up. The solution key will be posted on Friday Feb. 24.	key #4
#3 due Feb. 16.	key #3
#2 due Feb. 9.	key #2
#1 due Thursday Feb. 2. Paper on statistical graphics by Jarad Niemi and Andrew Gelman. R code used in lecture 2/2.	key #1

Last modified: Mon May 14 18:56:08 CDT 2012