Non-Parametric

Question 1

Non-parametric tests

Answer 1

Does NOT have
* Normality (Skewed Data)
* Variacance (Homogeneity is violated)

Examines the difference between groups or variable (essentially a t-test)

Question 2

Two criteria for choosing non-parametric tests

Answer 2

• Normality and homogeneity of variance are not satisfied
• Data measured on the nominal or ordinal scale

Question 3

Non parametric is less ____ because it is a rank and not interval/ratio data

Answer 3

powerful

Question 4

Disadvantages: non-parametrics

Answer 4

• Can’t do complex designs (T-Test or One Way ANOVA)
• Less powerful and need a greater sample size (10 subjects for every 6 parametric)
• Still need to have a randomization procedure to assign groups

Question 5

Test for 2 independent groups is called

Answer 5

Mann-Whitney U

Question 6

Two dependent Samples Test is called

Answer 6

Wilcoxon signed ranks test

Question 7

K Related Independent Test is called

Answer 7

Kruskal-Wallis Oneway Analysis

Question 8

K Related Dependent Variables

Answer 8

• Friedman Oneway Analysis of Variance

Question 9

What central tendency do we use for non parametrics?

Answer 9

median