: Peter Dalgaard
Date: 05/19/09 10:32:30
To: Charles Van deZande
Cc: r-help@r-project.org
Subject: Re: [R] Wilcoxon nonparametric p-values
Charles Van deZande wrote:
> Thanks Peter,
> There are 8 measurements less than 8.5, so calculating the probability
> (binomial) of 8, or fewer, hap
Charles H Van deZande
/---Original Message---/
/*From:*/ Peter Dalgaard <mailto:p.dalga...@biostat.ku.dk>
/*Date:*/ 5/19/2009 5:35:07 AM
/*To:*/ cvandy <mailto:cvand...@gmail.com>
/*Cc:*/ r-help@r-project.org <mailto:r-help@r-project.org>
/*Subject:*/ Re: [R] Wilcoxon nonpar
something.
CHV
 
Charles H Van deZande
---Original Message---
From: Peter Dalgaard
Date: 5/19/2009 5:35:07 AM
To: cvandy
Cc: r-help@r-project.org
Subject: Re: [R] Wilcoxon nonparametric p-values
cvandy wrote:
> When I use wilcox.test, I get vastly different p-values than
I just tried it in Minitab and got
--
Test of median = 8.500 versus median not = 8.500
N for Wilcoxon Estimated
N Test Statistic P Median
C1 20 19 80.5 0.573 8.460
-
One tailed gave me closer to the textbook, but still not
cvandy wrote:
When I use wilcox.test, I get vastly different p-values than the problems
from Statistics textbooks.
For example:
The following problem comes from "Applied Statistics and Probability for
Engineers", 2nd Edition, by D. C. Montgomery. Page736, problem 14.7. The
problem is to compare
When I use wilcox.test, I get vastly different p-values than the problems
from Statistics textbooks.
For example:
The following problem comes from "Applied Statistics and Probability for
Engineers", 2nd Edition, by D. C. Montgomery. Page736, problem 14.7. The
problem is to compare the sample dat
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