Important MCQs Testing Hypothesis 2

The post is about the MCQs Testing Hypothesis for the preparation of exams 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. The Quiz testing hypothesis will help the learner understand the related concepts and enhance the knowledge. Let us start with the MCQs Testing Hypothesis.

1. The non-parametric equivalent of an unpaired samples t-test is

 
 
 
 

2. 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 use

 
 
 
 

3. The Wilcoxon Signed Rank test is used

 
 
 
 

4. Which of the following tests is most likely assessing this null hypothesis: 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 $P=0.3$

 
 
 
 

5. When testing for randomness, we can use

 
 
 
 

6. The Wilcoxon Rank-Sum test used to compare

 
 
 
 

7. To perform a Runs test for randomness the data must be

 
 
 
 

8. In a Wilcoxon Rank-Sum test

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

12. The sign test assumes that the

 
 
 
 

13. A data professional on a marketing team conducts a hypothesis test to compare the mean time customers spend on two different versions of a company’s website. To start, they state the null hypothesis and the alternative hypothesis. What should they do next?

 
 
 
 

14. The sign test is

 
 
 
 

15. Wilcoxon Rank-Sum test can be of

 
 
 
 

16. When using the sign test, if two scores are tied, then

 
 
 
 

17. Which of the following tests uses Rank Sums

 
 
 
 

18. 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

 
 
 
 

19. The Spearman Rank-Correlation test requires that the

 
 
 
 

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

 
 
 
 


Testing of Hypothesis

MCQs Testing Hypothesis

  • The sign test is
  • The non-parametric 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
  • The sign test assumes that the
  • When testing for randomness, we can use
  • The Runs test results in rejecting the null hypothesis of randomness when
  • Wilcoxon Rank-Sum test can be of
  • The Wilcoxon Rank-Sum test used to compare
  • The Wilcoxon Signed Rank test 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
  • To perform a Runs 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
  • 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 use
  • Which of the following tests is most likely assessing this null hypothesis: 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 $P=0.3$
  • A data professional on a marketing team conducts a hypothesis test to compare the mean time customers spend on two different versions of a company’s website. To start, they state the null hypothesis and the alternative hypothesis. What should they do next?

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