# Common Mistakes in Using Statistics - Spotting Them and Avoiding Them

## May 23 - 26, 2010

### Course Notes

• 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 laptop.
• 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.)

Day                            Slides (2 per sheet)            Appendix
1 (M May 23)                slides1                                app1

2 (T May 24)                 slides 2, pp. 1 - 23              (No appendix for Day 2)
slides 2, p. 24
slides 2, pp. 25 - 44

3 (W May 25)                slides 3                               app 3

4 (Th May 26)               slides 4                               app 4

Empirical Probability Example

Rice Virtual Lab in Statistics Sampling Distribution Simulation

Bioconsulting Confidence Interval Simulation

R. Webster's Confidence Interval Simulation

W. H Freeman's Confidence Interval Simulation

The Rice Virtual Lab in Statistics Confidence Interval 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.)

Negative Consequences of Dichotomizing Continuous Predictor Variables

### Website on Common Misteaks Mistakes in Using Statistics

Content similar to the content of the course notes, but includes embedded links and more information. Continually under construction.

Last updated May 19, 2011