The R Project for Statistical Computing full featured, very powerfulPower Analysis
Analysis Lab Basic analyses, good for teaching.
VassarStats A nice collection of small programs for specific types of analyses.)
DataPlot Includes scientific visualization, statistical analysis, and non-linear modeling.
MacAnova Not just for Macs, and not just ANOVA
BrightStat Basic analyses including many non-parametric tests.
OpenEpi Emphasizing epidemiological statistics. Very comprehensive.
Statistics101 Resampling
Tetrad Causal Modeling
Power analysis for numerous designs and statistics
John Pezzullo
Power analysis for ANOVA designs
by Michael Friendly
Statistical considerations for clinical trials and scientific experiments
by David Schoenfeld
Power and sample size page
by Russ Lenth
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Binomial Distribution |
Normal Distribution |
t Distribution |
Chi Square Distribution |
F Distribution |
| Online Statistics by David Lane and Joan Lu. | JavaScript program by John Pezzullo | JavaScript program by John Pezzullo | CGI program by Jan de Leeuw | JavaScript program by David Lane |
| Java program by B. Narasimhan | Java program by David Lane | Java program by B. Narasimhan | Java program by B. Narasimhan | JavaScript program by John Pezzullo |
| Java program by B. Narasimhan | Online Statistics by David Lane and others at Rice U. | JavaScript program by John Pezzullo | Java program by B. Narasimhan | |
| ASP programs by Mark Eakin | Online Statistics by David Lane and others at Rice U. |
Many descriptive statistics and stem and leaf displaysCorrelation and Regression
by David Lane
Interactive histogram
by Webster West
Statiscope
by Mikael Bonnier
Ordinary least squares
by T. Kirkman
Interactive 2-Dimensional and 3-Dimensional Data ModelingDistribution-Free Tests
by James Phillips
Mann-Whitney U/Wilcoxon Rank SumTop of page