A. One way analysis of variance (ANOVA)
B. Spearman Rank difference
C. Wilcoxon Rank-Sum test
D. Kruskal-Wallis test
A. One way analysis of variance (ANOVA)
B. Spearman Rank difference
C. Wilcoxon Rank-Sum test
D. Kruskal-Wallis test
A. Samples are independent
B. Samples have same mean
C. Sample are dependent
D. The Wilcoxon Signed Rank test is used
A. Sample are dependent
B. The assumption of normality is not met
C. Sample sizes are small
D. Data are paired
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 âtâ is less than the proportion of normal curve
D. Non of these
A. Symmetrical
B. None of these
C. Same as Normal Curve
D. Skewed
A. The sample are drawn from a normally distributed population.
B. The variance of the population is known
C. All above
D. s (sample standard deviation) is an unbiased estimate of the population variance.
A. Herbicide A is more effective than Herbicide B
B. Herbicide A is not more effective than Herbicide B
C. Herbicide B is more effective than Herbicide A
D. Herbicide B is not more effective than Herbicide A
A. Standard Deviation
B. Mean
C. mean Square Error
D. Variance
A. Consistency
B. All Above
C. Unbiasedness
D. Efficiency
A. stating H1
B. stating Ho
C. L of significance
D. Test statistics