Normal, or Gaussian, distribution describes a pattern where values in your defined range occur more frequently around a center point, or mean. Using the sales projection example, you observe that ...

The expectations of order statistics of a logarithmic-normal distribution are expressed as functions which are linear in a location and a scale parameter but nonlinear in a shape parameter of the ...

A useful theorem in statistics, *The Central Limit Theorem, states that sums and averages tend to follow a normal distribution, no matter what distribution the individual data values come from. For a ...

For more information about the SPEC statement, see . The agreement between the empirical and the normal distribution functions in Output 2.1.1 is evidence that the normal distribution is an ...