[Blindmath] analyze of experimental results

[Iddo Keret]

hi,
thank you, susan and christine
its expand my thoughts  about the important things a  scientist need
i  will be glad to hear more opinions  from the list.
iddo

----- Original Message ----- 
From: "Christine Szostak" <szostak.1 at osu.edu>
To: "Blind Math list for those interested in mathematics" 
<blindmath at nfbnet.org>
Sent: Monday, July 11, 2011 10:42 PM
Subject: Re: [Blindmath] analyze of experimental results


> 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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>
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