Exam 15: Nonparametric Statistics

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A two-sample t-test with independent samples corresponds to:

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Which of the following statements about Spearman's rank-correlation coefficient is false?

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The sign test is always to be preferred to the t test.

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The sign 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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You are performing the Wilcoxon rank-sum test. The 13th through 15th values in an ordered array of pooled sample data all equal $180 (while the 12th value is less and the 16th value is more). The appropriate ranks for the three $180 values are:

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The sign test is a nonparametric procedure for testing:

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In a Kruskal-Wallis test, there are four samples, and the value of the test statistic is calculated as H = 13.21. Then the most accurate statement that can be made about the p-value of the test is that it is greater than 0.005 but smaller than 0.01.

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Consider the following data set: 2.2, 2.3, 2.3, 2.5, 2.6, 2.7, 2.8, 2.8, 2.8, 2.9, 3.1, 3.2, and 3.5. The rank assigned to the three observations of value 2.8 is:

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The Wilcoxon rank-sum test is a nonparametric test that uses two independent simple random samples to determine whether the relative frequency distributions of two statistical populations of continuous values are identical to or different from one another.

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The Friedman test is applied to problems with the following characteristics:

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The nonparametric counterpart of the randomized block model of the analysis of variance is the:

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The Kruskal-Wallis test is always:

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In testing the hypotheses In testing the hypotheses   : The two population locations are the same.   : The two population locations are different. The statistics T+ = 238, T- = 582, and n = 40 are calculated with data drawn from a matched pairs experiment. Test statistic: z-statistic = ______________ What is the p-value of this test? ______________ Can we infer at the 5% significance level that the population locations differ? Conclusion: ______________ We ______________infer at the 5% significance level that the population locations differ. : The two population locations are the same. In testing the hypotheses   : The two population locations are the same.   : The two population locations are different. The statistics T+ = 238, T- = 582, and n = 40 are calculated with data drawn from a matched pairs experiment. Test statistic: z-statistic = ______________ What is the p-value of this test? ______________ Can we infer at the 5% significance level that the population locations differ? Conclusion: ______________ We ______________infer at the 5% significance level that the population locations differ. : The two population locations are different. The statistics T+ = 238, T- = 582, and n = 40 are calculated with data drawn from a matched pairs experiment. Test statistic: z-statistic = ______________ What is the p-value of this test? ______________ Can we infer at the 5% significance level that the population locations differ? Conclusion: ______________ We ______________infer at the 5% significance level that the population locations differ.

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Which of the following tests employs matched-pairs sampling?

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We can use the Friedman test to determine whether two populations differ. The conclusion will be the same as that produced from the sign test.

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Comparing 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:

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Statistical methods that require few assumptions, if any, about the population distribution are known as:

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Apply the Friedman test to the accompany table of ordinal data to determine whether we can infer at the 10% significance level that at least two population locations differ. Apply the Friedman test to the accompany table of ordinal data to determine whether we can infer at the 10% significance level that at least two population locations differ.   Test Statistic:   = ______________ Reject Region: Reject   if   > ______________ Conclude: ______________ We ______________ infer at the 10% significance level that at least two population locations differ. Test Statistic: Apply the Friedman test to the accompany table of ordinal data to determine whether we can infer at the 10% significance level that at least two population locations differ.   Test Statistic:   = ______________ Reject Region: Reject   if   > ______________ Conclude: ______________ We ______________ infer at the 10% significance level that at least two population locations differ. = ______________ Reject Region: Reject Apply the Friedman test to the accompany table of ordinal data to determine whether we can infer at the 10% significance level that at least two population locations differ.   Test Statistic:   = ______________ Reject Region: Reject   if   > ______________ Conclude: ______________ We ______________ infer at the 10% significance level that at least two population locations differ. if Apply the Friedman test to the accompany table of ordinal data to determine whether we can infer at the 10% significance level that at least two population locations differ.   Test Statistic:   = ______________ Reject Region: Reject   if   > ______________ Conclude: ______________ We ______________ infer at the 10% significance level that at least two population locations differ. > ______________ Conclude: ______________ We ______________ infer at the 10% significance level that at least two population locations differ.

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In the Wilcoxon Signed-Rank test, if two or more measurements have the same nonzero difference, signs ignored, then:

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The Kruskal-Wallis Test for Differences in more than 2 Medians is a nonparametric alternative to:

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