ABSTRACT
People often ask about the difference between parametric and non-parametric tests. We introduced the concept of parameters early in the book — these are measures of a population, rather than of a sample. Used in this context, the term refers to the ‘population’ of the normal distribution. Parametric tests are performed if a normal distribution can be assumed. Remember that the t-tests also require an underlying normal distribution.
