The post is about MCQs nonparametric quiz. There are 22 multiple-choice questions covering different nonparametric tests such as Wilcoxon rank sum test, Spearman’s Rank Correlation test, Mann-Whitney U test, Sign test, Runs Test, Kruskal Wallis test, and Chi-Square goodness of fit test. Let us start with the MCQs nonparametric Quiz.

MCQs about non-Parametric Statistics

### Online MCQs Nonparametric Quiz with Answers

- The Wilcoxon rank-sum test can be
- The Wilcoxon rank-sum test compares
- The Wilcoxon signed rank is used
- Which of the following test use rank sums?
- Which of the following tests must be two-sided?
- In testing for the difference between two populations, it is possible to use
- In a Wilcoxon rank-sum test
- The Spearman rank-correlation test requires that the
- The sign test is
- The nonparametric equivalent of an unpaired samples t-test is
- The Mann-Whitney U test is preferred to a t-test when
- When using the Sign test, if two scores are tied, then we
- The sign test assumes that the samples are
- When testing for randomness, we can use
- The Runs test results in rejecting the null hypothesis of randomness when:
- To perform a run test for randomness the data must be
- Three brands of coffee are rated for taste on a scale of 1 to 10. Six persons are asked to rate each brand so that there is a total of 18 observations. The appropriate test to determine if three brands taste equally good is
- If a Chi-square goodness of fit test has 6 categories and an N=30, then the correct number of degrees of freedom is
- Comparing the times-to-failure of radar transponders made by firms A, B, and C, based on an airline’s sample experience with the three types of instruments, one may well call for:
- Which of the following tests is most likely assessing the null hypothesis of “the number of violations per apartment in the population of all city apartments is binomially distributed with a probability of success in any one trial of $P=0.4$
- In the Kruskal-Wallis test of $k$ samples, the appropriate number of degrees of freedom is
- Compare to parametric methods, the nonparametric methods are