I'm in no way affiliated with the author, but this blog post struck me as interesting and accessible:

http://perfdynamics.blogspot.com/2010/06/linear-modeling-in-r-and- hubble-bubble.html


On Jun 23, 2010, at 1:13 PM, Joris Meys wrote:

On Wed, Jun 23, 2010 at 8:59 PM, Geoffrey Smith <[email protected]> wrote:
You might think about looking at stock returns and asking questions about the probability of doubling your money or of getting a rate of return that
exceeds the historical mean.  Geoff

Doesn't always work though. Bio-engineers for example are typically
less interested in gambling on the stockmarket... ;-)

Now serious, one of the finest examples I met is the example about the
death penalty in Florida, to be found in Agresti's book "Categorical
Data Analysis" on page 48 and further. It gives a very nice
illustration of Simpson's paradox, applied to real data about a topic
that leaves few untouched. Basically Agresti shows there how one came
to the conclusion that whites got more often the death penalty than
blacks in Florida. If one didn't take the victim into account, that
is. When looking at the victims, it was clear that the death penalty
was more often declared when the victim was white. It turned out that
blacks mostly kill blacks, and whites mostly killed whites.
Conditional on the victim, the story turned around and blacks clearly
got the death penalty more often. The data goes from 1971 to 1987, so
is fairly safe to use for educational purposes

Cheers
Joris


On Wed, Jun 23, 2010 at 11:09 AM, Christophe Genolini <cgeno...@u- paris10.fr
wrote:

Hi the list,

As a statistics teacher, I teach to NOT-scientists student, public that it is permanently necessary to motivate. I am thus in search of examples both scientific and playful to illustrate my courses. It is not always easy to find. As other teacher might be in the same case, I say to myself that we
could maybe share our 'best' examples?

So I start: a social psychologist (Nicolas Gueguen, article here
http://nicolas.gueguen.free.fr/index.html) has establishes that if we approach a perfect unknown lady on a beach and we ask for its phone number, we have 9 % of chance to obtain it. If we call her by touching her slightly on the front arm, we have 19 % (!!!) of chances to obtain it (test of chi2,
p < 0.01). Surprising, isn't it?

So what are your 'best examples' ?

Christophe Genolini

--
-----------------------------------------
Christophe Genolini
Maitre de conférences
INSERM U669, Equipe Biostatistiques
UFR STAPS, Université de Paris Ouest-Nanterre-La Défense
Web: http:\\christophe.genolini.free.fr

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--
Geoffrey Smith
Visiting Assistant Professor
Department of Finance
W. P. Carey School of Business
Arizona State University

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--
Joris Meys
Statistical consultant

Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control

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