Re: Ttest on nonnormal data
- From: "Data Matter" <fungile@xxxxxxxxx>
- Date: 26 Jul 2005 17:06:47 -0700
As others have said here, the t-test is pretty robust in many
situations. Particularly in social sciences, I can't see why skewness
is a big issue since everything is approximate anyway.
But your understanding of the central limit theorem is incorrect. Your
data may not be normal but you are not looking at the distribution of
the means. In fact, your one survey gives you one estimate of the mean
and one point does not a distribution make!
Your initial statement of "somehow I am not getting satisfactory
answers" worries me. We advise you on what's right to do and if that
doesn't give you the result you have in mind, then you should examine
the results. There are many methodologies out there and if you search
long enough, you will find one that gives you the result you want but
that doesn't make it right.
.
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