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I'm not sure this is the right place to post, but I'll go ahead. In my book it says that if I am dealing with an overdetermined problem with m data points and n parameters (so m>n), then my observed chi square X^{2}_{obs}follows a X^{2}distribution with m-n degrees of freedomifthe data points are normally distributed.

I thought that the number of degrees of freedom was always m-n, irregardless of what distribution my data follows. Am I right or is it correct what the book is stating?

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# Chi square

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