The Wilcoxon signed rank test is applied to compare two populations, when the samples are matched pairs and the data are interval but not normally distributed.
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Q. 2The Wilcoxon signed rank test for matched pairs is the nonparametric counterpart of the paired two-sample t-test of.
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Q. 3A one-sample t-test is the parametric counterpart of the Wilcoxon signed rank test for matched pairs.
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Q. 4The Wilcoxon signed-rank test is a nonparametric test that 1) uses the directions of differences observed in a matched pairs sample to determine whether the relative frequency distributions of two statistical populations are identical to or different from one another and 2) determines whether a sample comes from a population with a specified median.
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Q. 5A two-independent sample t-test corresponds to a Wilcoxon signed rank test for paired samples.
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Q. 6The Wilcoxon signed rank test is a nonparametric test that uses the directions of differences observed in a matched-pairs sample to determine whether the relative frequency distributions of two statistical populations are identical to or different from one another.
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Q. 7The critical value is taken from the F-distribution whenever the Wilcoxon signed rank test is employed.
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Q. 8Which of the following correctly describes the sign test?
a. It often uses the directions of differences observed in matched-pairs sample to determine whether the relative frequency distributions of two statistical populations are identical to or different from one another.
b. It is often used to determine whether a sample comes from a population with a specified median.
c. It is often used to determine whether a sample comes from a population with a specified mean.
d. Both it often uses the directions of differences observed in matched-pairs sample to determine whether the relative frequency distributions of two statistical populations are identical to or different from one another and it is often used to determine whether a sample comes from a population with a specified median.
e. Neither it often uses the directions of differences observed in matched-pairs sample to determine whether the relative frequency distributions of two statistical populations are identical to or different from one another nor it is often used to determine whether a sample comes from a population with a specified median.