Common Mistakes in Using Statistics - Spotting Them and Avoiding
2011 Summer Statistics Institute Course, University of Texas at
May 23 - 26, 2010
- Files are in pdf format.
- Most students will want to download the slides and either print them to
take notes on in class, or follow along in class on their
- The slides for Day 2 are in three parts (since p. 24 is a chart
printed landscape). Also, there is no appendix for Day 2.
- The appendices contain
additional material and references. They are available for your
reference later according to your own needs.
- Copies of course materials will not
be handed out in class.
- Computers for individual use will not be available in the classroom
for this particular course.
- If you need a different print size or would prefer a .doc file to
take notes on, please email me so
I can email you .doc files to adjust
to your needs. (Past experience is that .doc files often acquire
changes in formatting or symbols when posted on the web; this might
also happen with email attachments on some platforms.)
Virtual Lab in Statistics Sampling Distribution Simulation
Confidence Interval Simulation
Webster's Confidence Interval Simulation
H Freeman's Confidence Interval Simulation
Rice Virtual Lab in Statistics Confidence Interval Simulation
Virtual Lab in Statistics Robustness Simulation
University's Wise Project's Statistical Power Applet
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.)
Consequences of Dichotomizing Continuous Predictor Variables
Content similar to the content of the course notes,
but includes embedded links and more information. Continually under
Last updated May 19, 2011