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) [EMAIL PROTECTED] http://www.rucares.org/clinicalresearch/dept/biometry/
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