Compare and contrast the characteristics of parametric and non-parametric test methodologies. Give examples of when to use each.
Often referred to as distribution free statistics, non-parametric statistics are used when the data may not demonstrate the characteristics of normality (i.e. follow a normal distribution).
Non-parametric statistics are used with nominal data, where the response set can be converted to counts of events, ...
The solution compares and contrasts the characteristics of parametric and non-parametric test methodologies. The role of variance in difference of means hypothesis testing is discussed.