Nonparametric Tests Quiz, Exams of Statistics

A quiz on nonparametric tests, including their differences from parametric tests, their parametric equivalents, when to use them, and how to conduct them in SPSS. It also covers tests of normality and homogeneity of variance, effect size, and write-ups for each test. useful for students studying statistics and research methods.

Typology: Exams

2022/2023

Available from 10/09/2023

eloy-hermann
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Nonparametric tests quiz
Parametric vs. nonparametric tests - Correct answer -parametric tests use sample
statistics to estimate population parameters requiring underlying assumptions be met
-nonparametric tests don't have the same stringent assumptions and can be used when
assumptions of parametric tests are not met
Parametric equivalent of Mann-Whitney/Wilcoxon rank-sum tests - Correct answer
independent t-test
Parametric equivalent of Wilcoxon signed rank test - Correct answer dependent t-test
Parametric equivalent of Kruskal-Wallis test - Correct answer independent ANOVA
Parametric equivalent of Friedman's test - Correct answer repeated measures ANOVA
When to use Mann-Whitney/Wilcoxon rank-sum tests - Correct answer to test
differences between 2 conditions in which different participants have been used
Mann-Whitney/Wilcoxon rank-sum tests work on the principle of - Correct answer -
ranking the data for each group
-lowest score = rank of 1
-tied ranks are given the same ranks: the average of potential ranks
Tests of normality - Correct answer -Kolmogorov-Smirnov
-Shapiro-Wilk
Test of homogeneity of variance - Correct answer -Levene's test
How to conduct Wilcoxon rank-sum and Mann-Whitney tests in SPSS - Correct answer
-Analyze-->nonparametric tests-->independent samples
-Fields-->use custom field assignments
-move DVs over to test fields
-groups = IV
-Settings-->customize tests-->Mann-Whitney
-double click on hypothesis test summary-->Model Viewer, gives you Wilcoxon results
and statistical information
Effect size for Wilcoxon rank-sum and Mann-Whitney tests - Correct answer -r = Z / sqrt
(N)
-Z = z-score that SPSS produces ("standardized test statistic")
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