+1 862 207 3288 One sample sign test
Test of hypothesis concerning no difference among two or more sets of data such as two sample sign test, Fisher- Irwin test, Rank test, etc.
Tests for dependence, test of a hypothesis of a relationship between variables (rank correlation, Kendall’s coefficient of concordance)
Test of randomness of a sample based on the theory of runs (such as one sample runs test
Test of hypothesis to determine if categorical data shows dependency or if two classifications are independent e.g. the chi-square test
Test of a hypothesis concerning variation in the given data i.e. test analogous to ANOVA such as Mann-Whitney U Test, Kruskal-Wallis test, Rank Sum tests.
In 1942 Wolfowitz first used the term non-parametric. There is at least one non-parametric equivalent for each parametric general type of test.
These test generally fall into the categories
Tests of differences between groups (independent samples);
Tests of differences between variables (dependent samples);
Tests of relationships between variables
