Define Parametric and Non parametric test. When these tests are used? Also define their sub types along with examples
Explanation: Parametric tests = It is the Procedure of hypothesis which explains that the variables of interest are measured on at least an interval scale. It is parameters defining properties of the population distribution from which one's data are drawn, Uses of Parametric Tests 1: uses in skewed and non-normal distributions=Parametric tests can be used with continuous data that are non-normal if you satisfy these sample size guidelines. For example sample t test (each group should be greater than 15) and in ANOVA (if you have 10 -12 groups then each group should be greater than 20). 2: uses for when spread of each group is different= For nonparametric tests data for all groups must have the same spread (dispersion). If your groups have a different spread, the nonparametric tests might not provide valid results. In parametric tests you’re good to go even when the groups have different spreads. 3: uses as a Power=Parametric tests usually have more statistical power tha...