Non Parametric Tests.

(Part 10, Biostatistics and Computer Application, AGB)

Non Parametric Tests

Non Parametric Tests


We use non-parametric tests when we do not expect our data to conform to a parametric distribution such as the normal distribution or the t distribution. They can also be used if other assumptions about the data needed for certain tests are violated. Eg. Equality of standard deviations for the two-sample t test.

The Sign Test is the simplest nonparametric test for matched or paired data. The approach is to analyze only the signs of the difference scores

Wilcoxon Signed Rank Test is a popular nonparametric test for matched or paired data. Like the Sign Test, it is based on difference scores, but in addition to analyzing the signs of the differences, it also takes into account the magnitude of the observed differences. 

Note: The following pdf is the AGB note of (Unit 1) Biostatistics and Computer ApplicationPart 10 of BVSc & AH. *AGB - Animal Genetics and Breeding.

Topics of the PDF file of 'Non Parametric Tests' : 

Introduction / Non Parametric Test Procedures / Hypothesis Test Hierarchy / Advantage and Disadvantage of Non Parametric Test / Difference between Parametric and Non Parametric Test / Sign test / Wilcoxon Signed Rank Test.

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