Thanks, and can anyone suggests to me a procedure to perform this test?
�scar
-----Mensaje original-----
De: [email protected]
[mailto:[email protected]] En nombre de Richard Goldstein
Enviado el: Lunes, 31 de Octubre de 2005 11:40 a.m.
Para: [email protected]
Asunto: Re: st: Help about Ranksum - porder option
porder is taking all possible pairs (control=yes paired with each control=
no) and asking in what percent of those pairs is No larger than YES; this
does not appear to be the question you are asking; if I correctly understand
your question, I think you want a parametric procedure rather than the
rank-sum test
hope this helps
Rich
�scar Becerra-CERAC wrote:
> Hi all,
>
> I am applying a Wilcoxon test for the equality of distributions,
> between two control groups with the ranksum command. But I have a
> doubt about the interpretation of the result of this test. The obtained
result is:
>
> ranksum series , by(control) porder
>
> Two-sample Wilcoxon rank-sum (Mann-Whitney) test
>
> control | obs rank sum expected
> -------------+---------------------------------
> NO | 2284 3280197 3338066
> YES | 638 990306 932437
> -------------+---------------------------------
> combined | 2922 4270503 4270503
>
> unadjusted variance 3.549e+08
> adjustment for ties -5118462.8
> ----------
> adjusted variance 3.498e+08
>
> Ho: series(control==NO) = series(control==YES)
> z = -3.094
> Prob > |z| = 0.0020
>
> P{series(control==NO) > series(control==YES)} = 0.460
>
>
> According with the p - value, I understand that the distribution
> between � groups changes, but I can�t understand the result obtained
> by the p order option. What I really want to know is if when my
> control measure is on it has a positive impact in the behaviour of series.
Can you help me with this?
>
> Thanks,
>
>
>
> �scar Becerra
> Researcher
>
> Conflict Analysis Resource Center
> Carrera 10 N� 65 - 35 Of. 603
> Tels: +(571) 345 85 72/3
> www.cerac.org.co
>
>
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