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Re: Calculating mean and variance for normal distribution
From: |
Ben Abbott |
Subject: |
Re: Calculating mean and variance for normal distribution |
Date: |
Sat, 24 May 2008 12:15:51 -0400 |
On May 24, 2008, at 12:02 PM, DimitryASuplatov wrote:
Hello,
I have a common task - to analyze some data, presumptively normaly
distributed, and calculate its mean, variance and make a plot. I`ve
checked the book-manual and the mailing list, but all functions that
have something to do with normal distribution require mean and
variance
as an input parameters. This is very strange. I feel like missing
something...
Could you just give me a tip. Lets say I have my data in vector x. How
to get mean and varience assuming normal distribution? And if this
would
not cause many trouble could you give me a link to where I can read
this
because I might be reading in the wrong place.
Thanks a lot for your help!!!
SDA.
I'm a bit confused by your question. The definition of mean and
variance are each independent of distribution, are they not?
In any event, at Octave's prompt type
> help mean
> help std
Regarding a plot, I'm not sure what you hope to do. Are you looking to
plot a histogram with fitted normal distribution superimposed over it?
If so, to calculate the pdf of a uniform distribution
> help normpdf
Regarding a reference, the link below might be what you're looking for.
http://www.gnu.org/software/octave/doc/interpreter/Statistics.html#Statistics
Octave's statistics function are generally compatible with the "other"
programs ;-)
Thus, the link below might also be of use to you.
http://www.aquaphoenix.com/lecture/matlab10/page2.html
Ben