Re: How do I claim a measurement is Gaussian distribution?
- From: hrubin@xxxxxxxxxxxxxxxxxxxx (Herman Rubin)
- Date: 17 Nov 2006 12:21:52 -0500
In article <1163623419.678109.132210@xxxxxxxxxxxxxxxxxxxxxxxxxxxx>,
<mailcwc@xxxxxxxxx> wrote:
Hi, all
I am a student from engineering. I have never taken a statistics
before, but I do have background of probability.
My current research need to claim a measurement is Gaussian
distributed. What is the standard method for this?
I know this can be a book, please give me some keyword that I can find
in the index.
My current concern are the following questions:
1. How many samples are enough?
2. Is there a thumb of rule to detemine the spacing of the histogram?
I think wider spacing can wipe out the noise.
3. There are so many tests in the general statistics books. Which one
should I choose? Which godness of fit is the most important?
Thanks for your time.
Why do you need to claim a measurement is normally
distributed? This is especially important as it
is almost certain that this is not the case.
Also, no amount of data can establish the normal,
or any other, distribution. It can only say that
the observed distribution is not too far from the
"theoretical" distribution, so it does not meet
the rejection criterion.
--
This address is for information only. I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Department of Statistics, Purdue University
hrubin@xxxxxxxxxxxxxxx Phone: (765)494-6054 FAX: (765)494-0558
.
- References:
- How do I claim a measurement is Gaussian distribution?
- From: mailcwc
- How do I claim a measurement is Gaussian distribution?
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