First, I'm pretty sure this is a statistics question, not an R question.
But you're asserting there is a difference in the data. The statistical test is
telling you that this apparent difference is within the range of chance
variation. There's not a contradiction there, unless you mean there is a
statistically significant difference with the Wilcox test in some other
computation method.
Pat
On 3/11/19, 12:47 PM, "R-help on behalf of javed khan"
<r-help-boun...@r-project.org on behalf of javedbtk...@gmail.com> wrote:
Hi,
I have two set of data in excel:
A column( 16.38, -31, -16.77, 127, -57, 23.44 and so on)
B column ( -12, -59.23, -44, 34.23, 55.5, -12.12 and so on)
I run the wilcox test as :
wilcox.test(A , B, data = mydata, paired = FALSE)
I got always the p value very high, like 0.60
Even I make changes in the data, it gives me 0.7, 0.4 etc which is too high
than 0.05 and can not thus reject the null hypothesis.
What could be the problem as I know there is difference in the data?
Regards
[[alternative HTML version deleted]]
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