Message-ID: <CAF8bMcavPZNOqgDQLdEavrxoXDFre9XVjW=d8oCE2G13SzdC0Q@mail.gmail.com>
Date: 2019-03-19T18:22:00Z
From: William Dunlap
Subject: high p values
In-Reply-To: <CAJhui+vu9Dy2T7nVmc8S58woLijgA7hLiXt_8WG5odcKHs57tw@mail.gmail.com>
Any reasonable test of whether two samples differ should be scale and
location invariant. E.g., if you measure temperature it should not matter
if you units are degrees Fahrenheit or micro-Kelvins. Thus saying the
medians are 3500 and 6200 is equivalent to saying they are 100.035 and
100.062: it does not tell use how different the samples are. You need to
consider how much overlap there is.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Tue, Mar 19, 2019 at 9:48 AM javed khan <javedbtk111 at gmail.com> wrote:
> Hi
>
> This is my function:
>
> wilcox.test(A,B, data = data, paired = FALSE)
>
> It gives me high p value, though the median of A column is 6900 and B
> column is 3500.
>
> Why it gives p value high if there is a difference in the median?
>
> Regards
>
> [[alternative HTML version deleted]]
>
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