The *midpoint* is the mean - half of the people above and half
below. Bell charts to show the *distribution* would be *truly*
meaningful. Anyone?
The _mean_ is what is most commonly called the average - the sum of
the data divided by the number of data points. Vic gave means.
The _median_ is what you have called the midpoint. Also called the
50th percentile in some cases. You (Susan) gave medians.
There are two other measures of central tendency, midrange and mode.
The _midrange_ is the point midway between the highest and lowest
observed values, useless in this case. The _mode_ is the number
appearing in the data with the most frequency. More on the mode in
a bit.
It makes no sense to me to examine means in this case. The numbers
1-5 were just tags to identify the five choices available in the
straw poll. a, b, c, d, and e could just have easily been the
choices' tags, or red, orange, yellow, green, and violet.
In order for means to be useful here, we would at least have to
assume that the choices fit on a linear scale in order of 'severity'
or some such concept, and e.g. that the 'distance' between
(1)"discuss only when a warning is needed" and (2)"sometimes okay to
discuss" is exactly the same as the 'distance' between (2)"sometimes
okay to discuss" and (5)"always okay to discuss". There are other
hidden assumptions not worth going into IMO.
Using the median is also a problem, for the same reasons. The
problem with the median might not be as severe as with the mean, but
I'm not up to sussing it out right now.
However, the mode might be considered useful in the case of this
straw poll, with the technical caveat that I don't think it ought to
be considered a measure of central tendency in the usual sense. It
is the choice the plurality of voters. The significance of the
plurality's decision for each type of software is left to the reader
as an excercise.
Bell charts to show the *distribution* would be *truly*
meaningful. Anyone?
Not me, thanks.
Even calling it a bell chart assumes it is a
Gaussian distribution over a linear scale. But histograms (bar
charts) would show the modes as the highest bars, and would also
show at a glance whether there were other choices close to the
mode in each case.
What follows is does not have any bearing on the straw poll analysis
itself, but I see other people making up data sets of numbers to
support the idea that means are somehow more meaningful than
medians, and I can't help pointing out that that's not such a good
idea. It's even worse than cherry-picking data sets or
cherry-picking measures to go with real data sets. At some point in
the mid-1980s the UNC Department of Sociology put the 'average'
starting salary of its recent graduates into some recruiting
material. It was well into six figures, USD. Was it accurate and
precise? Yes. Did it give the prospective student any useful
information about her future starting salary? No, at the time,
IIRC, a BS in sociology would get you something like 17-22000 USD to
start, assuming you could find employment.
ROT13:
Zvpunry Wbeqna unq erghearq gb gnxr pynffrf qhevat gur fhzzref naq
unq rnearq uvf OF va fbpvbybtl. Gur qrcnegzrag unq pnyphyngrq gur
zrna naq ercbegrq vg nf gur 'nirentr.'