Statistics MCQs

A. One way analysis of variance (anova)
B. Spearman rank difference
C. Wilcoxon rank-sum test
D. Kruskal-wallis test

A. Divided into at least two classifications
B. Divided into exactly two classifications
C. Quantitative
D. Qualitative

A. Data must be measured on the same scale
B. Data should be of ordinal scale at least
C. Data must be distribution at least approximately as a t-distribution
D. Data must be from two independent samples

A. Ties within one sample may affect the decision
B. Ties always affect the decision
C. Ties never affect the decision
D. Ties between the two sample may affect the decision

A. Symmetrical
B. None of these
C. Same as normal curve
D. Skewed

A. Greater the degree of freedom, the more the t-distribution resembles the standard normal distribution
B. The normal curve is symmetrical whereas the t-distribution are slightly skewed.
C. The proportion of area beyond a specific value of “t” is less than the proportion of normal curve
D. Non of these

A. Sample are dependent
B. The assumption of normality is not met
C. Sample sizes are small
D. Data are paired

A. Samples are independent
B. Samples have same mean
C. Sample are dependent
D. The wilcoxon signed rank test is used

A. Consistency
B. All above
C. Unbiasedness
D. Efficiency

A. Standard deviation
B. Mean
C. Mean square error
D. Variance