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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.

• 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 a truly 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.
  
  
• 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.)

It is strongly recommended that you purchase a reference book for each of R/S-Plus and LaTeX. Which book is up to you. Some suggestions are:

• Modern Applied Statistics with S-Plus by William Venables and Brian Ripley, published by Springer-Verlag. Highly recommended for this and other courses, and for future use as a reference text. (Recommended). The latest addition (4th) covers both R and S-Plus. This is
  
• An Introduction to R (approx. 100 pages, 650kB), based on the former "Notes on R", gives an introduction to the language and how to use R for doing statistical analysis and graphics.
  
• 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.