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Message-ID: <37fda5350904121817u76317650mb296187ef846a689@mail.gmail.com>
Date: 2009-04-13T01:17:02Z
From: Michael Lawrence
Subject: Quantative procedure assessing if data is normal
In-Reply-To: <BLU134-W260D650B14EDF94182F2BED27E0@phx.gbl>

www.rseek.org
"normality test"

On Sun, Apr 12, 2009 at 8:45 PM, Henry Cooper <henry.1986 at hotmail.co.uk> wrote:
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> Hi,
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> As part of an R code assingment I have been asked to find a quantitative procedure for assessing whether or not the data are normal?
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> I have previously used the graphical procedure using the qqnorm command.
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> Any help/tips would be greatly appreciated as to how I should start going about this!
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> Henry
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>
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> _________________________________________________________________
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> ? ? ? ?[[alternative HTML version deleted]]
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> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Mike Lawrence
Graduate Student
Department of Psychology
Dalhousie University

Looking to arrange a meeting? Check my public calendar:
http://tinyurl.com/mikes-public-calendar

~ Certainty is folly... I think. ~