Parametric VERSUS Non Parametric test BY A.Rachana 16331E005
A statistical test, in which specific assumptions are made about the population parameter is known as parametric test. Parametric test Non parametric test Nonparametric tests are also called distribution-free tests because they don’t assume that your data follow a specific distribution.
Parametric versus Non Parametric test.
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Parametric versus non parametric test Study type Parametric test Non parametric test Compare means between two distinct/independent groups Two-sample t-test Mann- whitney test Compare two quantitative measurements taken from the same individual Paired t-test Wilcoxon signed-rank test Compare means between three or more distinct/independent groups Analysis of variance (ANOVA) Kruskal -Wallis test
Study type Parametric test Non parametric test Repeated measures, >2 conditions One-way, repeated measures ANOVA Friedman's test Estimate the degree of association between two quantitative variables Pearson coefficient of correlation Spearman’s rank correlation Parametric versus non parametric test