Which of the following statements is true?
a. Nonparametric methods can be applied to a wider variety of problems because they have more rigid requirements than parametric methods.
b. Nonparametric methods can be applied to a wider variety of problems because they have less rigid requirements than parametric methods.
c. Unlike parametric methods, nonparametric methods cannot be applied to nominal data that lack numeric values.
d. Nonparametric methods can be applied to a wider variety of problems because they have less rigid requirements than parametric methods and unlike parametric methods, nonparametric methods cannot be applied to nominal data that lack numeric values.
e. None of these.
Q. 2You are performing the Wilcoxon rank-sum test. The 10th through 12th values in an ordered array of pooled sample data all equal 100, while the 9th value is less than 100 and the 13th value is more than 100 . The appropriate ranks for the three 100 values are:
a. 9, 9, 9
b. 10, 10, 10
c. 11, 11, 11
d. 12, 12, 12
e. 13, 13, 13
Q. 3Nonparametric tests can be appropriate for quantitative data when:
a. one or more of the assumptions underlying a particular parametric statistical test has been violated
b. the sample size is very large
c. the underlying population can be assumed to be normally distributed
d. all assumptions for a particular parametric statistical test have been met
e. none of these
Q. 4Comparing the output of strawberries grown on plots using fertilizer A with that grown on otherwise identical plots using fertilizer B, in order to make a general assessment of relative fertilizer effectiveness, may well call for:
a. the sign test
b. Kruskal-Wallis test
c. Wilcoxon rank-sum test
d. Wilcoxon signed-rank test
e. either Kruskal-Wallis test or Wilcoxon rank-sum test
Q. 5A two-sample t-test with independent samples corresponds to:
a. a Wilcoxon signed rank test for paired samples
b. a Wilcoxon rank sum test
c. a Wilcoxon signed rank test for one sample
d. a Friedman test for randomized block design
e. a chi-square test
Q. 6Which one of the following statements correctly states the difference between parametric and nonparametric statistical methods?
a. Nonparametric tests do not make any distributional assumptions throughout the entire process.
b. Nonparametric tests do not have the hypotheses based on population parameters or assumptions based on the distributions of populations from which the samples are drawn.
c. Nonparametric tests involve only interval data whereas parametric tests involve only ordinal data.
d. Nonparametric tests are involved with populations which have no parameters.
e. None of these.
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