I know at a sample size of 31 or larger, and from a random sample selection, you are able to assume normality. Is this in general always true? If no, how do you discern?
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You can't assume normality unless you are told it is a normal distribution. At least that's what I was taught.
Well if both sample size x >= 31 and the raw data distribution mimics the central limit theorem then I would say go ahead and use parametric tests (that is assume normality)
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