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[Phys-L] Re: Average earlier or average later?



Funny you should use this example,
I just wrote up and am testing a lab where the students are to try to
make a stopwatch (digital) stop on 1.00 s (at least 25 trys). This
gives some nice data for taking basic stats and makes evaluating
those stats a bit more tactile for the students. Stopping on 1.00s is
surprisingly frustrating, which makes for some good discussion about
how much a given measurement on a watch can be trusted.

The example below makes me rethink my understanding of the standard
deviation formula. I thought the point of the squares in the formula
was to eliminate signs and produce an absolute value for the
differences between the average and a given value. Now, I am not so
sure.

Any deeper insight out there?

Scott



**********************************
Scott Goelzer
Physics Teacher
Coe-Brown Northwood Academy
Northwood NH 03261
603-942-5531e218
sgoelzer@coebrownacademy.com
**********************************


On Sep 9, 2005, at 8:56 AM, Rick Tarara wrote:

----- Original Message -----
From: "Brian Whatcott" <betwys1@SBCGLOBAL.NET>



I think this is misleading direction.
One can demonstrate that for ANY amount of data
disposed equally about one value, a calculation can show a
difference
between two processing methods for a result depending on multiplying
one well defined variable against another scattered variable.
The case in point involves multiplying the well defined length
by the inverse of (scattered) time.


Maybe the following simple example would be worth discussing--

Say you measure a series of times but your calculation will use the
square
of the time.

T(s) T-squared
5 25
4.75 22.5265
4.75 22.5265
4.75 22.5265
4.75 22.5265
6 36
average
5 25.208
stdev
.5 5.38
% dev
10 21.3

Is there a clear cut choice here for choosing the square of the
average or
the average of the squares? My gut is the square of the average,
but being
without formal training in stats, I'm not sure. If I recall what
little
stats I've had correctly, squaring the value of 5+/-10% yields 25
+/-20%.

Rick

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Richard W. Tarara
Professor of Physics
Saint Mary's College
Notre Dame, Indiana
rtarara@saintmarys.edu
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