[Blindmath] analyze of experimental results
Christine Szostak
szostak.1 at osu.edu
Mon Jul 11 19:42:05 UTC 2011
Hi,
As a PhD student about a year away from earning my second PhD, I agree
full-heartedly with Susan's comments. I too think that the more important
issue is to find the proper fit, whether this is done case by case (e.g.,
examining the best fit to say each participant) or to all of the data
aggregated. The slope... will be part of what is used to find this best fit.
Thus, Susan's comments are not suggesting that you ignore this information
but rather do things such as finding the regression line that can account
for the greatest proportion of your data. Hope that helps to clarify a
little.
many thanks,
Christine
----- Original Message -----
From: "Iddo Keret" <iddokt at netvision.net.il>
To: "Blind Math list for those interested in mathematics"
<blindmath at nfbnet.org>
Sent: Monday, July 11, 2011 3:19 PM
Subject: Re: [Blindmath] analyze of experimental results
> hi,
> so you say that seeing graph on a screen, zoom it, focus at specific
> intervals, see the shape and slope along it, is not important for
> understand the result of an experiment? and all the result analysis and
> the understanding can achieve by computer?
> i'm sure there is some scientists that will not agree with you at all.
> iddo
>
> ----- Original Message -----
> From: "Susan Jolly" <easjolly at ix.netcom.com>
> To: <blindmath at nfbnet.org>
> Sent: Monday, July 11, 2011 8:09 PM
> Subject: Re: [Blindmath] analyze of experimental results
>
>
>> Speaking as a sighted person and a retired research scientist I don't
>> understand the intent of the original assignment. I would never attempt
>> to analyze thousands of numbers visually. I and I believe other
>> scientists would say that the correct thing to do would be to attempt to
>> fit the data to an appropriate analytic form be it linear, exponential,
>> fourier series, or whatever. There are many different utilities for doing
>> this; I will leave it to the list to make suggestions.
>>
>> Susan
>>
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>
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