Non-Parametric MCQS 1

The post is about Non-Parametric MCQs (Multiple Choice Questions) from Statistical Inference for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. The Quiz Non-Parametric MCQs are also helpful in getting admission to different colleges and Universities.

MCQs about non-Parametric Statistics

1. The Spearman rank-correlation test requires that the

 
 
 
 

2. When testing for randomness, we can use

 
 
 
 

3. 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”

 
 
 
 

4. The Wilcoxon rank-sum test can be

 
 
 
 

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

 
 
 
 

6. 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:

 
 
 
 

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

 
 
 
 

8. The Wilcoxon signed rank is used

 
 
 
 

9. The sign test assumes that the samples are

 
 
 
 

10. The Wilcoxon rank-sum test compares

 
 
 
 

11. To perform a run test for randomness the data must be

 
 
 
 

12. In a Wilcoxon rank-sum test

 
 
 
 

13. Which of the following test use rank sums?

 
 
 
 

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

 
 
 
 

15. In the Kruskal-Wallis test of $k$ samples, the appropriate number of degrees of freedom is

 
 
 
 

16. If a Chi-square goodness of fit test has 6 categories and an N=30, then the correct number of degrees of freedom is

 
 
 
 

17. 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

 
 
 
 

18. The Mann-Whitney U test is preferred to a t-test when

 
 
 
 

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

 
 
 
 

20. Compare to parametric methods, the nonparametric methods are

 
 
 
 

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

 
 
 
 

22. The sign test is

 
 
 
 


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

Online Non-Parametric MCQs with Answers

Online Non-Parametric MCQs

  • The Wilcoxon rank-sum test can be
  • The Wilcoxon rank-sum test compares
  • The Wilcoxon signed rank is used
  • Which of the following tests uses 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
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