Chapter 14: Non-Parametric Statistics Flashcards
When are nonparametric statistics used?
When testing the significance of the differences between or among treatment conditions when the data are nominal or ordinal
Why is it called “nonparametric” statistics?
They do not involve making any assumptions about population parameters
What is nominal data?
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”
Chi-square goodness-of-fit test
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.
Chi-square test of independence
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.
Wilcoxon rank-sum test
Is performed when data is ordinal and two between-subjects treatment conditions
Wilcoxon Matched-Pairs signed ranks t-test
Is performed when data is ordinal and two within-subjects treatment conditions
Kruskal-Wallis test
Ordinal and three or more between-subjects treatment conditions
Friedman Test
Ordinal and three or more within subjects treatment conditions