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If I recall correctly, if the population is normal, then if we take a sample of size n from it, we can use the Chi-Square test for variance to see if our sample's variance has a predetermined value or not.

Is there an equivalent test we can run if the population is NOT normal?

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Surely that would just be the same test, but in reverse? If you have another specific distribution in mind, you could test for fit to that. – naught101 Nov 21 '12 at 6:47
What exactly do you mean by 'in reverse'? To clarify, I have a sample from a non-normal population (though I don't know what distirbution the population actually has). I want to know if there is a test I can run to check if the variance of my sample has a certain predetermined value or not. Chi-Square Test for Variance accomplishes this if the population is normal; however, I assume that when the assumption of normality doesn't hold, I can't use it. Or am I mistaken? – user17075 Nov 22 '12 at 2:21
This is not an answer to the question. If you are the same person who asked the question, log in using the same login as before, & edit your question to update it w/ the new info, or flag your post for moderator attention. – gung Nov 22 '12 at 3:09

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