Please note: Some of these links use Java applets, which your computer might block (depending on the verion of Java you have and your security settings. For more information, see http://wise.cgu.edu/ or onine illustrations)

Wise Sampling Distribution Simulation

Rice Virtual Lab in Statistics Sampling Distribution Simulation

Rice Virtual Lab in Statistics Robustness Simulation

Claremont University's Wise Project's Statistical Power Applet

Jerry Dallal's Simulation of Multiple Testing

This simulates the results of 100
independent hypothesis tests, each at 0.05 significance level. Click
the "test/clear" button to see the results of one set of 100
tests (that is, for one sample of data). Click the button two more
times (first to clear and then to do another simulation) to see the
results of another set of 100 tests (i.e., for another sample of data).
Notice as you continue to do this that i) which tests give type I
errors (i.e., are statistically significant at the 0.05 level) varies
from sample to sample, and ii) which samples give type I errors for a
given test varies from test to test. (To see the latter point, it may
help to focus just on the first column.)

Jelly Beans (A Folly of Multiple Testing and Data Snooping)

More Jerry Dallal Simulations: More Jelly Beans Cellphones and Cancer Coffee and ...

Website for Summer Statistics Institute 2014 course Common Mistakes in Using Statistics

A companion to the preceding
website Common Mistakes in Using Statistics. It contains updates to
that site and occasional comments on other things related to statistics
that come to my attention. It may be of interest to the following
categories of people:

Teachers of statistics (especially those, such as myself, who come from backgrounds other than statistics)

Undergraduates and early graduate students in statistics

Users of statistics (especially people who read research using statistics)

Teachers of statistics (especially those, such as myself, who come from backgrounds other than statistics)

Undergraduates and early graduate students in statistics

Users of statistics (especially people who read research using statistics)

Last updated Oct 8, 2014