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.

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

• 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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