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How to detect Statistical Anomalies (i.e. reported heights)?
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 More options Mar 11, 6:38 am
Newsgroups: sci.math
From: "2.7182818284590..." <tangent1...@gmail.com>
Date: Wed, 10 Mar 2010 22:38:18 -0800 (PST)
Local: Thurs, Mar 11 2010 6:38 am
Subject: How to detect Statistical Anomalies (i.e. reported heights)?
Usually, when I regress the frequency of heights of adult men to the
actual heights, I get something which resemble a smooth bell curve.  I
use a sample size of 30-50, typically.

However, today, I have a feeling that I'm analyzing spurious data
sets, because my histogram is not a smooth bell curve, but in fact,
bimodal looking.

Is the fact that a curve that I'm analyzing not a bell curve
indicative of there being spurious data here?  I noticed that my curve
has some peak coinciding with 5'11", which is 180 cm.  I have a
feeling that this 180cm is viewed as some psychological benchmark for
the participants on this dating site.

Inch    Height Frequency
63      7
64      8
65      14
66      25
67      44
68      47
69      65
70      45
71      74
72      45
73      34
74      17
75      12
76      3


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