# MCQs Non-Parametric-1

Multiple Choice Questions (MCQs about Estimation & Hypothesis Non-parametric case) from Statistical Inference for the preparation of exam and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These tests are also helpful in getting admission to different colleges and Universities.

MCQs about non-Parametrics Statistics

1. The sign test assumes that the samples are

2. The sign test is

3. To perform a runs test for randomness the data must be

4. Which of the following test 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 $P=0.4” 5. The Wilcoxon signed-rank is used 6. Which of the following test use rank sums? 7. Compare to parametric methods, the nonparametric methods are 8. The Mann-Whitney U test is preferred to a t-test when 9. The Wilcoxon rank-sum test compares 10. In a Wilcoxon rank-sum test 11. If a Chi-square goodness of fit test has 6 categories and an N=30, then the correct number of degrees of freedom is 12. In the Kruskal-Wallis test of$k\$ samples, the appropriate number of degrees of freedom is

13. The nonparametric equivalent of an unpaired samples t-test is

14. Which of the following tests must be two-sided?

15. The Spearman rank-correlation test requires that the

16. The Wilcoxon rank-sum test can be

17. When using the Sign test, if two scores are tied, then we

18. When testing for randomness, we can use

19. 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:

20. The Runs test results in rejecting the null hypothesis of randomness when:

21. 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

22. In testing for the difference between two populations, it is possible to use

Most of the MCQs on this page are covered from Estimate and Estimation, Testing of Hypothesis when the assumption of population parameters are unknown, that is Non-Parametric tests, etc.

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