TIPSters:

It's an old idea, but perhaps worth mentioning in response to this thread
about teaching some statistics in intro.  I use the analogy of a criminal
court proceeding for which the evidence is circumstantial rather than
physical.  The null hypothesis is that the defendant is not guilty, which
the jury will retain if the defendant's connection to the crime is judged
to be an unfortunate consequence of chance (. . . wrong place at the wrong
time, etc.) or rejected as a guilty verdict if chance is an unacceptably
remote explanation for the accumulated facts in the case.

Use of the courtroom analogy allows me 1. to introduce the concepts of
Type 1 error (innocent defendant sent to prison) and Type 2 error (guilty
defendant goes free) in a way the students can easily relate to; and 2.
makes the point that inferences from "significant" statistics are not
guaranteed to lead to correct inferences.

Kenneth M. Rosenberg
Professor
Department of Psychology
Oswego State University of NY


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