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 the sample data with a population median of 8.5. The
> book answer is p = 0.25, wilcox.test answer is p = 0.573.
> I've tried several other similar problems with similar results.
I've copied
> the following directly from my workspace.
wilcox.exact (from exactRankTests) gives
> wilcox.exact(x - 8.5)
Exact Wilcoxon signed rank test
data: x - 8.5
V = 80.5, p-value = 0.5748
so I'd suspect the textbook. One-sided p-value perhaps? or table
limitation (as in "p > .25"). If you want to dig deeper, you'll
probably
have to check the computations implied by the text.
> Thanks for any help,
> CHV
>> x<-c(8.32,8.05,
>>
8.93,8.65,8.25,8.46,8.52,8.35,8.36,8.41,8.42,8.30,8.71,8.75,8.6,8.83,8.5,8.38,8.29,8.46)
>> wilcox.test(x,y=NULL,mu=8.5)
> Wilcoxon signed rank test with continuity correction
> data: x
> V = 80.5, p-value = 0.573
> alternative hypothesis: true location is not equal to 8.5
>
> Warning messages:
> 1: In wilcox.test.default(x, y = NULL, mu = 8.5) :
> cannot compute exact p-value with ties
> 2: In wilcox.test.default(x, y = NULL, mu = 8.5) :
> cannot compute exact p-value with zeroes
> ? ?
> Charles H Van deZande
>
>
>
>
>
> ?
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