The following Nonparametric Statistics MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Nonparametric Statistics. We encourage you to answer these 20 multiple-choice questions to assess your proficiency.
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A. One
B. Two
C. Two or more
D. Zero
A. One
B. Two
C. Three
D. Zero
A. Ordinal
B. Nominal
C. Normal
D. Constant
A. Two
B. One
C. Zero
D. Three or more
A. True
B. False
A. Periodic table
B. Math table
C. Contingency table
D. All of these
A. True
B. False
A. Unexpected frequency
B. Expected frequency
C. Total frequency
D. All of these
A. True
B. False
A. Mann whitney test
B. Kruskal wellis h test
C. Mcnemar test
D. All of these
A. Mann whitney test
B. Kruskal wellis h test
C. Mcnemar test
D. All of these
A. Mann whitney test
B. Kruskal wellis h test
C. Mcnemar test
D. All of these
A. True
B. False
A. Unexpected frequency
B. Expected frequency
C. Total frequency
D. Observed frequency
A. True
B. False
A. Phi
B. Phi squared
C. Sigma
D. None of these
A. 10
B. 20
C. 30
D. 50
A. True
B. False
A. One
B. Two
C. Three
D. Zero
A. Nominal or ordinal data or unequal variances among groups
B. Small samples
C. Violated the assumption of similar variances
D. All of these
A. A chi-square goodness of fit for equal frequencies
B. A chi-square goodness of fit for unequal frequencies
C. A chi-square test for independence
D. Correlation coefficient
A. Latin square
B. Summary table
C. Observed frequencies table
D. Contingency table
A. Large sample size
B. An independent variable
C. Normally distributed measure
D. Nominal or ordinal data
A. Point-biserial correlation and Spearman’s rho
B. Cramer’s V test and Kruskal–Wallis H test
C. Chi-square goodness of fit and Kruskal–Wallis H test
D. Spearman’s rho and Mann–Whitney U test
A. Ranking data
B. Ordinal data
C. Two nominal variables with two or more categories
D. One nominal variable with at least two categories
A. Chi-square test for independence
B. Spearman’s rho
C. Point-biserial correlation
D. Pearson’s correlation
A. Number we would expect in a category according to the null hypothesis
B. Number we obtain in a particular category
C. Frequency we hope to get in each category
D. Frequency reported in the literature for a particular category
A. Chi-square goodness of fit
B. Chi-square test for independence
C. McNemar test
D. Cochran Q test
A. Chi-square goodness of fit
B. Chi-square test for independence
C. Either chi-square test is appropriate
D. Phi squared