[R] normality test
Knut M. Wittkowski
kmw at mail.rockefeller.edu
Tue Feb 17 14:57:08 CET 2004
Hello Samuel,
Regardless of some more fundamental problems (see below), a test to "prove"
normality based on a sample of 9? - Fugetaboutit.
Knut
At 10:20 2004-02-06 +0100, I wrote:
>...
>
>It may be tempting to interpret a non-significant result of a statistical
>test as to verify the hypothesis, e.g., as to verify that the distribution
>of the data is Gaussian. Unfortunately, a non-significant test is merely
>non-conclusive (Popper KR, Wien: 1937), so one would have to test for
>equivalence, e.g., as TOST (two one-sided tests). To do this with the a
>test for normality (Shapiro, Lillifors, ...), however, it may be difficult
>to come up with a justification for an equivalence limit.
>
>...
At 09:32 2004-02-17 +0100, you wrote:
>Hello,
>
>I am analysing several samples whose sizes are from 9 to 110.
>I would like to test their distribution with R,
>whether they are normal or not.
>I wonder which test for normality from R should I use .
>
>Thank you for help.
>
>Samuel BERTRAND
>Doctorant
>Laboratoire de Biomecanique
>LBM - ENSAM - CNRS UMR 8005
>151, bd de l'Hopital
>75013 PARIS
>Tel. +33 (0) 1 44 24 64 53
>Fax. +33 (0) 1 44 24 63 66
Knut M. Wittkowski, PhD,DSc
------------------------------------------
The Rockefeller University, GCRC
Experimental Design and Biostatistics
1230 York Ave #121B, Box 322, NY,NY 10021
+1(212)327-7175, +1(212)327-8450 (Fax)
kmw at rockefeller.edu
http://www.rucares.org/clinicalresearch/dept/biometry/
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