![]() ![]() Indeed, the idea of even trying makes no sense in the case of nominal data, since the categories don't even have an order! When your measures are categorical, it's not so much that you can't "check" it as it generally makes no sense to do it - you already know it's not a sample from a normal distribution. It would be somewhat rare to have even reasonably approximate normal-looking samples with actual ratio data, since ratio data are generally non-negative and typically somewhat skew. If any of those aren't true you don't need to examine the data distribution to conclude that it's not consistent with normality. The normal distribution only makes sense if you're dealing with at least interval data, and the normal distribution is continuous and on the whole real line. Categorical data are not from a normal distribution.
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