Nonparametric TestHypothesis tests are parametric tests when they assume the population follows some specific distribution (such as normal) with a set of parameters. If you don't know whether your data follows normal distribution or you have confirmed that your data do not follow normal distribution, you should use nonparametric tests.
Origin provides support for the following X-Functions for non-parametric analysis, they are available in OriginPro
As an example, we want to compare the height of boys and girls in high school.
//import a sample data
fname$ = system.path.program$ + "Samples\Statistics\body.dat";
//Mann-Whitney Test for Two Sample
//output result to a new sheet named mynw
mwtest irng:=(col(c), col(d)) tail:=two rt:=<new name:=mynw>;
//get result from output result sheet
//Use the result to draw conclusion
if (mynw.Stats.Stats.C3 <= 0.05); //if probability is less than 0.05
type "At 0.05 level, height of boys and girls are differnt.";
//if median of girls height is larger than median of boy's height
if (mynw.DescStats.R1.Median >= mynw.DescStats.R2.Median)
type "girls are taller than boys.";
type "boys are taller than girls."
type "The girls are as tall as the boys."