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 Binomial Probability Model This resource, created by the statistics departed at Western Michigan University, helps define and explain binomial probability. It includes examples and exercises for the learner which facilitate further understanding of the subject. Overall, this specific site is perfect for users studying statistics, more specifically probability testing. http://www.stat.wmich.edu/s160/book/node33.html
 Chi Square This resource, created by author David M. Lane, defines and explains Chi square. It takes the user through 5 different categories: testing differences between p and pi, more than two categories, chi-square test of independence, reporting results, exercises. This basic resource provides students with a much greater understanding of this testing process. Overall, it would be good for any... http://davidmlane.com/hyperstat/chi_square.html
 Regression This applet, created by Virginia Tech's Department of Statistics, allows the user to generate bivariate data for analysis with simple linear regression. The page describes the equations used to generate the data and estimate the regression lines. Users manipulate data generated and create their own line of best fit to try and match the computer generated regression line. https://www.causeweb.org/repository/statjava/Regression.html
 The Wilcoxon Matched-Pairs Signed-Ranks Test This site, created by the Universiteit van Amsterdam, allows the user to enter their own data to get results of a Wilcoxon test. The page also provides a brief explanation of how the Wilcoxon test functions. Overall, while this site is quite specific, it still is a valuable resource for those interested in statistics. http://www.fon.hum.uva.nl/Service/Statistics/Signed_Rank_Tes...
 Statistics and Data Analysis This online introductory statistics textbook covers basic descriptive, statistical, and graphical procedures for analyzing data sets and contains three data sets and a practice final exam. Chapter headings include: descriptive statistics, probability, resampling, discrete probability models, continuous probability models, central limit theorem, confidence intervals, tests of hypotheses,... http://www.stat.wmich.edu/s160/book/book.html
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