Thread: Always able to assume normality if sample size >= 31

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?

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)