There are likely tools to automate this more, and perhaps someone will
post. But here's the way to do this with Excel tools.
Make a pivot table that groups your scores, and counts the groups. Post back
if you want details on that. Now you can make a chart of the scores and the
corresponding counts from the table, and you have your bell.
If you're going to use this with varying data, you should use a dynamic
range technique for both the pivot table range, and the chart's source data
range.
Regards from Virginia Beach, VA
Earl Kiosterud
ea...@livenet.net
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Creeze wrote in message <38000A34...@dmi.net>...
A bell curve is a particular shape of a histogram plot for a data set. There
is no guarantee that the elements in a data set will indeed be distributed in a
bell shape.
That said...
use Tools | Data Analysis... | Histogram to get a histogram for the test
scores. If you are lucky, Excel's default selection of bin ranges will give
you the shape you desire. If it doesn't, then, up to a point, it is possible
to manipulate the bin ranges so that the dispersion of the test scores takes on
the shape you desire. Experiment with the bin range values.
There is a test to verify that the scores really follow a normal distribution
(that is what a bell curve implies). I believe it involves the use of "normal
graph paper" and the resulting plot should be in a straight line. Some years
back I had figured out how to do that in Excel but can't remember right now.
Maybe some one else will help out.
--
Regards,
Tushar Mehta
www.tushar-mehta.com
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In <38000A34...@dmi.net>, Creeze <Cre...@dmi.net> wrote
Set the lowest grade =B1/2; I'll assume you entered this into B4 for that
student. Then, into B5 enter =B4+$B$1. Copy this down for the number of
students. Now, instead of fitting them into a Normal distribution, you can
focus on what is really going on. You can chart the ranking (in, say, column B)
against the final score, and get a lot of information. IMO, there is no reason
to expect a "bell curve" from any one class; this is certainly sound from a
theoretical standpoint, as well as my experience in grading for 11 years in
large graduate classes.
Tushar (who, btw, is a very good speaker; I hope he pursues a career involving
instruction) had a characteristically subtle point in his first paragraph. I
have stated it more firmly: drop the assumption of normality, and go with what
you have.
Tests for normality, which Tushar alluded to, we can provide, but I like his
overall spirit: really doesn't apply here, IMHO.
HTH
Dave Braden
Creeze <Cre...@dmi.net> wrote in message news:38000A34...@dmi.net...