Kevin Wang wrote:
(Sorry for the slightly off topic post)

I'm giving a talk (on data mining) to some non-statisticians (who're
all postgrad students, but a mixture of Science and Commerce majors).

My intention is to show them the importance of statistics when doing
data mining.  What I'm thinking of doing is using, hopefully, two
datasets.  One from scientific area and another that is
commercially-related.  However, it would be nice if the datasets (or
at least one of them) will violate some kind of basic statistical
assumptions (in its raw form anyway) -- hence showing having a basic
statistical knowledge is important.  Also hopefully, I can introduce R
to them (since many of them haven't heard of it yet).

Does anyone have (or know where I can get) such data?  It doesn't have
to be huge,.....

Thanks!

Kevin

The titanic3 dataset on our web site - issue loadUrl('http://biostat.mc.vanderbilt.edu/twiki/pub/Main/DataSets/titanic3.sav') to load( ) it - may fit the bill although the response variable is binary. Assumptions that would be violated in a trivial analysis would be additivity of age and passenger class, and perhaps linearity of age. At least it is a dataset that everyone understands already.

--
Frank E Harrell Jr   Professor and Chair           School of Medicine
                     Department of Biostatistics   Vanderbilt University

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