If the underlying populations cannot be assumed to be normal, then by the central limit theorem, the sampling distribution of f1 X2 is approximately...

True or False? I belive that both N1 + N2 need to be greater or equal to 30 and not "n1+n2"

If the underlying populations cannot be assumed to be normal, then by the central limit theorem, the sampling distribution of f1 — X2 is approximately normal only if the sum ofthe sample observations is sufficiently large—thatis, when n1 +712 2 30.