Chapter 14: Non-Parametric Statistics

Question 1

When are nonparametric statistics used?

Answer 1

When testing the significance of the differences between or among treatment conditions when the data are nominal or ordinal

Question 2

Why is it called “nonparametric” statistics?

Answer 2

They do not involve making any assumptions about population parameters

Question 3

What is nominal data?

Answer 3

Count data/frequency data example: how many people in your hometown ran in a race in the last year with value of “yes” or “no”

Question 4

Chi-square goodness-of-fit test

Answer 4

Is performed when the data are nominal and interest in comparing sample data to some known number/proportion/percentage of that variable in the population. Determining if a subsample is a good “fit” for population.

Question 5

Chi-square test of independence

Answer 5

Is performed what the data are nominal and the interest is in comparing data across different samples or across different levels of some other variable. Determining if data is independent or dependent on one another.

Question 6

Wilcoxon rank-sum test

Answer 6

Is performed when data is ordinal and two between-subjects treatment conditions

Question 7

Wilcoxon Matched-Pairs signed ranks t-test

Answer 7

Is performed when data is ordinal and two within-subjects treatment conditions

Question 8

Kruskal-Wallis test

Answer 8

Ordinal and three or more between-subjects treatment conditions

Question 9

Friedman Test

Answer 9

Ordinal and three or more within subjects treatment conditions