Thanks...
So, are my conclusions exact? I do not know if I have to consider the
first and the second p-values too..
Why not use the exact p-value, as reported by
ksmirnov x, by(group) exact
Regards, Garry
________________________________
From: [email protected] on behalf of [email protected]
Sent: Wed 14/01/09 20:17
To: [email protected]
Subject: Re: st: RE: kolmogorov-Smirmov Output
thanks a lot.
So, if my output is, for example,
Two-sample Kolmogorov-Smirnov test for equality of distribution functions:
Smaller group D P-value Corrected
----------------------------------------------
male: 0.2468 0.002
female: 0.0000 1.000
Combined K-S: 0.2468 0.005 0.003
if a should drow a conlusion, I have to see the p-value 0.005, the row
Combined K-S, is it right? So, in this case, if my alpha is 0.05,
because p-value is less than 0.05 I reject the null hypotesis.Is it
right?
Claudia
Quoting hind sbihi <[email protected]>:
Claudia
I am not sure I fully understand your question.
However, for hypothesis testing, you need to set a critical value at which
you accept or reject the null hypothesis. Let's say this critical value, or
alpha is 0.05. Now, if p-value is less than 0.05 your reject the null
hypothesis (which states that your observed distribution follows a Gaussian
distribution). Conversely, if p>0.05 then you accept the null hypothesis and
consider that your data approximates a Gaussian distribution.
HTH
Hind
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of
[email protected]
Sent: Wednesday, January 14, 2009 12:07 AM
To: [email protected]
Subject: st: kolmogorov-Smirmov Output
Hello,
would someone guide me on how to interpret the output of a two-sided
kolmogorov-Smirnov test?
In order to conclude for the equality or not of the distributions, what
p-value I have to see? As you know, if I perform a test for the
equality of two distributions, I have three rows where the last one is
the combined K-S. My question is if I have to see only this last row
(p-value) in ordwer to drow a conclusion.
thanks a lot
Claudia
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