how are nonparametric statistics applied 
because nonparametric statistics make fewer assumptions about sample data they are more widely applied and easily used than parametric statistics however nonparametric testing is less efficient in cases where parametric testing is more appropriate the reason is that nonparametric statistics discard some information that is available in the data unlike parametric statistics the bottom linenonparametric statistics are a statistical method in which the data are not assumed to come from prescribed models that are determined by a small number of parameters such as the normal distribution model and the linear regression model nonparametric statistics sometimes use ordinal data meaning it relies not on numbers but on a ranking or order 