It has been a fairly well known assumption in Statistics that a sample size of 30 is a so-called magic number in estimating distribution or statistical errors. The problem is that, firstly, according to Andrew Messing of the Center for Brain Science, Harvard University, like a lot of Rule of Thumb commonsense measures, this assumption does not have a solid theoretical [...]The post When is a small sample size too small for statistical reporting? appeared first on The Data Dive.
