A fundamentally important
theorem of
statistics, it describes the properties of the
bell curve and gives the
statistician the ability to form
probable conclusions about entire
populations based on
incomplete data about
sample populations.
If the number of sample data is sufficiently large, the mean distribution is approximately normal.