STAT 5303: Designing Experiments
Spring Semester 2017

Basic Information

Here is the course information handout.

Official University policies on many issues are available here.

Office Hours

Ford Hall 332

Monday: 2:00 p.m. to 3:00 p.m.
Wednesday: 2:00 p.m. to 3:00 p.m.
Friday: 2:00 p.m. to 3:00 p.m.

Additional times are available by appointment, and I usually have extra office hours before tests.


Some good news and some bad news:

The bad news is that the textbook is out of print so it is not readily available from bookstores, although you may find a used copy somewhere.
The good news is that the author (Prof. Oehlert) has generously made the book available as a no-cost download. Go to his site for links to the PDF file for the book itself and datafiles for examples and exercises from that book. You can also buy a hard copy version of that PDF file from Paradigm Copies.


!!NEW!! Assignment #5 (due Friday, February 24):

E8.1, E8.2, P8.4, P8.5
!!NEW!! Add E10.4 and P10.7 to this assignment.

Assignment #4 (due Friday, February 17):

E7.1, E7.2, E7.3, E7.4, E7.5.

Assignment #3 (due Friday, February 10):

E5.1, P5.2, P5.3.
E6.2, E6.3, E6.5,

Assignment #2 (due Friday, February 3):

P3.2, E4.1, E4.2, E4.4

Assignment #1 (due Friday, January 27):

E2.1, E2.5, E3.3, E3.4,
P3.1 (For this problem don't do the analysis---just identify the experimental units and the treatments.)


Computing handouts

These handouts (written by Prof. Oehlert) demonstrate using R to work through examples; many are from the text but there are additional examples. As you work through them, remember you want to see both (1) how to get the computer to perform certain tasks for you, and (2) why you want the computer to do those tasks. In other words, you should learn something about the underlying statistical concepts in addition to learning how to use the computer.

Basic R information

We will use R.

Here is an introduction to R.

You may download R for Macintosh, Windows, and Linux from the R-Project home page.

R package Stat5303

We will use Prof. Oehlert's R package called Stat5303, which adds some extra commands that we will need.

The current version of this package is here. You will need to download and install two packages, but they will require several other packages, too, so it may take a while. Fortunately, you only need to do that once.

Then each time you start R you will need to use

to make the extra commands available in that R session.


This is as much a list of what the project is not as it is a list of what it is.

Comments? Questions? Send me an e-mail note:

The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the University of Minnesota.