This is probably not what you're looking for, but while trying to figure out if you could still download a free copy of Drake's out-of-print Fundamentals of App

This is probably not what you're looking for, but while trying to figure out if you could still download a free copy of Drake's out-of-print Fundamentals of Applied Probability Theory... [HINT: The answer is yes: http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2005/RelatedResources/index.htm http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Compute...] ...I found this potentially interesting page full of references: http://www.cscs.umich.edu/~crshalizi/notebooks/probability.html http://www.cscs.umich.edu/~crshalizi/notebooks/probability.h... I post it here so that I can find it again later, but I fear that this is not the answer to your question. These appear to be more probability theory than nuts-and-bolts statistical analysis [1], and they may require more math background than I have (and I managed to handwave my way to a solid state physics Ph.D.) Try browsing around the MIT OpenCourseWare site. One of the great things about online courses, even if you don't take the courses, is that they often publish syllabuses that contain a lot of good textbook references. [EDIT: Ooh, look, if you follow links from the page I mentioned earlier you get here! http://www.cscs.umich.edu/~crshalizi/notebooks/teaching-statistics.html http://www.cscs.umich.edu/~crshalizi/notebooks/teaching-stat... ] --- [1] Not that I can reliably tell the difference. I know just enough about probability and statistics to know that I should probably study them some more. ;)