Chapter 6: Non Parametric Tests

Question 1

Kolmogorov-Smirnov Z

Answer 1

tests whether two groups have been drawn from the same population.

has better power than the Mann-Whitney when samples are less than 25 per group

Question 2

Kruskal Wallis Test

Answer 2

tests the hypothesis that multiple independent groups come from different populations

compares >2 independent groups of scores

Question 3

Mann-Whitney

Answer 3

• looks for differences between two independent samples
• tests whether the populations from which two samples are drawn have the same location
• equivalent to the independent t-test

Question 4

Median Test

Answer 4

tests whether the samples are drawn from a population with the same median

Question 5

Non-Parametric Tests

Answer 5

used to test hypotheses that don’t make many of the assumptions we have seen
AKA “assumption free tests”

Question 6

Pairwise Comparisons

Answer 6

compare all pairs of group means

Question 7

Ranking

Answer 7

how scores overcome the problem of the shape of the distribution
done by giving the lowest score a 1, the nest lowest a 2, etc.

Question 8

Sign Test

Answer 8

based only on the direction of difference (positive or negative)
magnitude of change is completely ignored
lacks power unless sample sizes are very small (6 or less)

Question 9

Wilcoxon Rank-Sum Test

Answer 9

looks for differences between 2 independent samples
tests whether the population from which two samples are drawn have the same location
equivalent of the independent t-test

Question 10

Wilcoxon Signed Rank Test

Answer 10

• looks for a difference between two related samples
• used when there are two sets of scores to compare, but the scores come from the same participants
• equivalent of the related t-test