Official University policies on many issues are available here.
Some good news and some bad news:
The bad news is that the textbook is out of print and hence 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 page 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.
Assignment #5 (due Wednesday, March 5):
E8.1, E8.2, P8.4, and P8.5.
E10.2, E10.4, and P10.7.
Assignment #4 (due Wednesday, February 26):
E6.2, E6.3, E6.5, and P6.1;
E7.1, E7.2, E7.3, E7.4, and P7.2.
Assignment #3 (due Wednesday, February 19):
E5.5, P5.1, P5.2, and P5.3.
Assignment #2 (due Wednesday, February 12):
E4.2, E4.3, E4.4, and P4.1.
Assignment #1 (due Wednesday, February 5):
E2.1, E2.5, E3.3, E3.4,
P3.1 (For this problem don't do the analysis---just identify the experimental units, treatments, and measurement units.),
These handouts (written by Prof. Oehlert) demonstrate using R to work through examples from the text. 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.
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.
We will use Prof. Oehlert's R package called Stat5303, which adds some extra commands that we will need.
The Stat5303 package depends on certain other R packages:
car (version 2.0 or later), effects, FrF2, mvtnorm, perm, RLRsim, and tseries.
You should install these and all the packages they depend on.
Companion (cfcdae) R package (0.8-2) for Mac
Companion (cfcdae) R package (0.8-2) for Windows
Stat5303libs R package (0.7-3) for Mac
Stat5303libs R package (0.7-3) for Windows
Download the packages and save the files into a place where R can find them (e.g., your home directory or the desktop). Start R, set the working directory to that location (e.g., use setwd(), and then use
install.packages("cfcdae_0.8-2.XXX",repos=NULL)(The repos=NULL says not to find it online but to look for the package in the local files, and replace XXX by tgz or zip as appropriate.) Then use
install.packages("Stat5303libs_0.7-3.XXX",repos=NULL)to install the other package. When you start R you then use two library commands: library(cfcdae) and library(Stat5303libs); you do not use library(Stat5303) for the new version.
Because typing in data is tiresome and can be a source of errors, the data from the homework problems and examples (from the text) are available as files that R can read. There are a couple of ways to get data into R.
Data sets for examples are named exmpl6.3 for example 3 from chapter 6.
Data sets for exercises are named ex3.1 for chapter 3, exercise 1, and
data sets for problems are named pr3.3 for chapter 3, problem 3.
Here are dataset files for R that you can download. So, for example---provided your machine is connected to the Internet---from within R you can use
resindata <- read.table("http://www.stat.umn.edu/~corbett/classes/5303/RDataFiles/exmpl3.2",header=TRUE)to save the data for Example 2 from Chapter 3 as a data frame called "resindata".
When you are not connected to the Internet, you could use
resindata <- read.table(file="exmpl3.2",header=TRUE)This would allow you to load data into R without an active Internet connection, but of course you have to already have downloaded the file to your machine.
Russ Lenth at the University of Iowa has also provided two R packages that
include the data sets from the book.
For Macintosh/Linux oehlert_1.02.tar.gz
For Windows oehlert_1.02.zip
Download the package and save the file into a place where R can find it (e.g., your home directory or the desktop).
Start R, set the working directory to that location (e.g., use setwd(), and then use
install.packages("oehlert_1.02.XXX",repos=NULL)(The repos=NULL says not to find it online but to look for the package in the local files; you need to replace XXX by tar.gz or zip as appropriate.)
library(oehlert)from within R to load all of the data. At that point, the command
pr17.4should give you problem 4 from chapter 17.
Note that the data set names, variable names, and variable codings in the oehlert data package and the direct-web-accessible data files may not be the same.
Comments? Questions? Send me an e-mail note: firstname.lastname@example.org