Nonparametric Tests Quiz, Exams of Statistics

Information on nonparametric tests and their parametric equivalents. It explains the differences between parametric and nonparametric tests, when to use Mann-Whitney/Wilcoxon rank-sum tests, and how to conduct Wilcoxon rank-sum and Mann-Whitney tests in SPSS. It also covers tests of normality and homogeneity of variance, as well as effect size and write-up of results for these tests. useful for students studying statistics or research methods.

Typology: Exams

2022/2023

Available from 10/09/2023

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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
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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") -N = sample size (number of total observations) Write-up of Mann-Whitney - Correct answer -use median (Mdn) as central tendency instead of mean because distribution is not normal -U = #, z = #, p < #, r = # Write-up of Wilcoxon rank-sum test - Correct answer -use median (Mdn) as central tendency instead of mean because distribution is not normal -Ws = #, z = #, p < #, r = #

-two way--determine whether there's a relationship between 2 categorical variables; known as a goodness-of-fit test or Pearson's chi-square -for two-way, df = (# of rows - 1)(# of columns - 1)