Cautions in Using Frequentist Statistics
Biostatistic Informal Course Guest Lecture, October 10, 2014
Slides for Talk:
pdf
pptx
Links:
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
Content similar to the content of the course notes,
but includes embedded links and more information.
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)
Last updated Oct 8, 2014