Name Tutor Subject Date Statistics In your own words what is a non-parametric test? A non-parametric test is a statistical analysis that does not define the properties or constraints of the original population from which the tested sample was obtained from. What is a parametric test? A parametric test is statistical analysis that makes assumption about the defining characteristics (constraints) of the population where the sample data cases normality and homogeneity of variance. What does r(s) represent? r(s) commonly known as the Spearman correlation coefficient is the non-parametric measure of correlation based on the data ranks. r(s) is obtained by ranking the values of two variable and calculating r(p) Pearson on the generated ranks instead of the original data. r(s) is used to measure the direction and strength of correlation between two ordered variables. [...]
1. In your own words, what is a non-parametric test? What is a parametric test 2. In your own words, identify an advantage of using rank correlation instead of linear correlation 3. In your own words, what is the difference between a non-parametric test and a free-distribution test? 4. Give the definition of a non-parametric test in your own words. 5. What is the difference between an ANOVA and the Kruskal-Wallis test? 6. What does r(s) represent?