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• The Statistical Sleuth by F. Ramsey and D. Schafer published by Duxbury. This cover a range of topics and applications in data analysis. While written at a fairly low mathematical level, we will supplement where necessary.
  
• Data Analysis and Graphics Using R by J. Maindonald and J. Braun. Introduction to modelling and computing in R.

There are many introductory statistics texts that cover essentially the same range of basic probability theory and statistical models and methods. A couple of really good ones you might consult from time to time are noted below. In addition, a lot of relevant material at an introductory level is available in some of the notes -- much won't be explictly covered, but you should find lots of the material there useful and it is easy to browse.

• Statistics by Michael Lavine (pdf pre-print of around 250 pages) This is used in the corequisite class STA213. We will refer to these notes for more theoretical bacground to supplement material the The Statistical Sleuth
  
• Statistical Inference by George Casella and Roger Berger. This is used in STA213. We will refer to it from time to time for basic distribution theory and classical inference (recommended, if you do not already have a copy, but other basic probability and statistics texts can be substituted.)
  
• Aplied Bayesian Modelling by Peter Congdon published by Wiley. This provides an introduction to applied Bayesian modelling and is companion book to Congdon's Bayesian Statistical Modeling (Wiley 2001). We will refer to material in the first 3 chapters later in the semester. Useful as a reference for more advanced modelling beyond the scope of this course.
  
• Bayesian Data Analysis by Andrew Gelman, John B Carlin, Hal S Stern and Don B Rubin, published by CRC Press. This provides an introduction to Bayesian analysis, and continues with more advanced statistical modelling that goes beyond the scope of this course, but it is another excellent text for both statistical modelling and applications, is full of good reading on concepts, and has many examples. This is now in the second edition.
  

It is strongly recommended that you purchase a reference book LaTeX. Some suggestions are:

• LATEX: A Document Preparation System -- User's Guide and Reference Manual by Leslie Lamport, published by Addison-Wesley. 2nd Edition. This is my favorite, but many other LaTeX guides are equally good and are essentially exchangeable. For example,
• The LaTeX Companion by M Goossens, F Mittelbach and A Samarin, published by Addison-Wesley. I use this one too
• A Guide to LaTeX -- Document Preparation for Beginners and Advanced Users by H. Kopka and P. Daly, published by Addison-Wesley. Another popular guide to LaTeX.
• Math into LaTeX -- An Introduction to LaTeX and AMS-LaTeX by George Gratzer, published by Birkhauser. Still yet another LaTeX book.
  

Check the computing page for additional links to support material on unix, using emacs with LaTeX ,R, and S-Plus, plus other infromations for running R, S-Plus, etc.