Probability & Statistics

For Probability the SJUT undergraduate mathematics course MAT201 draws heavily on the Probabilistic Systems Analysis and Applied Probability course (MIT Course Number 6.041 / 6.431 taught by Prof. John Tsitsiklis), which is available from MIT Open Courseware (OCW). There’s also a Wikibook on Probability.

On the Statistics side, a good place to start is http://davidmlane.com/hyperstat/ or try looking at the Wikibook on Statistics.

See also:

• Khan Academy Probability and Statistics
• Introduction to Probability and Statistics Using R ( or download the .pdf book). R an open source software language, which has a user community that has developed many, many special packages for doing statistical work. For more information visit The Comprehensive R Archive Network.
• Chance, which is a quantitative literacy course developed cooperatively by the Chance Team: J. Laurie Snell and Peter Doyle of Dartmouth College, Joan Garfield of the University of Minnesota, Tom Moore of Grinnell College, Bill Peterson of Middlebury College, and Ngambal Shah of Spelman College. Also the Chance wiki.
• Markov chains are covered nicely in a chapter from the Chance project materials

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