*Hyperstat online textbook— by David M. Lane (Rice University). A very readable online statistics textbook, with good discussions of ANOVA and probability. Written by a social scientist. What makes this online text unique is that each chapter also contains an extensive list of links to other resources (articles, online calculators, books, etc.). So even if you don't prefer Lane's style, you will find links to other sources you'll find useful. http://davidmlane.com/hyperstat/index.html
Web Interface for Statistics Education [WISE] (Claremont Graduate University) A special feature of WISE is the sequence of interactive tutorials on key statistical concepts (sampling distributions, the central limit theorem, hypothesis testing, and statistical power). The tutorials use dynamic applets that allow the user to explore relationships on their own. Guided exercises are designed to help the learner to take full advantage of the applets to gain a deeper understanding of the concepts and logic that underlie much of inferential statistics. http://wise.cgu.edu/
Online Statistics: An Interactive Multimedia Course of Study is an introductory-level statistics book. The material is presented both as a standard textbook and as a multimedia presentation. The book features interactive demonstrations and simulations, case studies, and an analysis lab. http://onlinestatbook.com/
Electronic Statistics Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by "modules," accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included. http://www.statsoft.com/textbook/stathome.html
*Statnotes: Topics in Multivariate Analys is really more of a small encyclopedia than a text. There is no attempt at organization or flow. Rather there are a bunch of articles on various topics, some quite good. A good place to look up statistical topics -- not a good place to get started with the basics. http://www2.chass.ncsu.edu/garson/PA765/statnote.htm
*Introductory Statistics: Concepts, Models, and Applications by David W. Stockburger (Southwest Missouri State University). Comprehensive, conventional, well-written statistics text with a behavioral science slant. While it gives a very good explanation of the basics, it doesn't cover ANOVA beyond one-way)or regression beyond simple linear. http://www.psychstat.missouristate.edu/sbk00.htm
*Mutivariate Statistics. Concepts, Models and Applications. by David Stockburger. The place to go to learn about multiple regression, factor analysis, cluster analysis, discriminant analysis and much more.
UCLA Statistics e-book—http://wiki.stat.ucla.edu/socr/index.php/EBook
SticiGui Online Text (from Berkley)—http://www.stat.berkeley.edu/~stark/SticiGui/Text/index.htm
Java Demos for Probability and Statistics: http://www.math.csusb.edu/faculty/stanton/m262/index.html
Normal Probability Calculation Demonstrations from Seeing Statistics: http://psych.colorado.edu/~mcclella/java/zcalc.html
- HyperStat Online: An online statistics book with links to other statistics resources on the web.
- Simulations/Demonstrations: Java applets that demonstrate various statistical concepts (downloadable)
- Case Studies: Examples of real data with analyses and interpretation
- Analysis Lab: Some basic statistical analysis tools.
*Annotations from the Graphpad Library.