Exam 20: Nonparametric and Resampling Statistical Tests

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As the sample size increases, non-parametric statistics approach normal.

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The Mann-Whitney test is to independent samples t test as Wilcoxon's matched-pairs signed-ranks test is to

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Non-parametric tests are those that do not rely on parameter estimation or strong assumptions about distributions.

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Assume that we asked 20 subjects to participate in a smoking cessation study. We recorded their craving for a cigarette before and after applying a nicotine patch. One reason we might want to use a distribution-free test is because

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The major advantage of distribution-free tests is that

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A distribution-free test

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If the usual assumptions behind parametric tests are met (at least approximately),

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Distribution-free tests and parametric tests differ in their null hypotheses in that

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With at least some distribution-free tests, a two-tailed test

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Friedman's rank test for k-related samples is to Wilcoxon's matched-pairs signed ranks test as a repeated-measures ANOVA is to a paired samples t-test.

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The following depression data using the two-tailed Mann-Whitney test. Describe your conclusions. The following depression data using the two-tailed Mann-Whitney test. Describe your conclusions.

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Which of the following is a nonparametric procedure?

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One of the unusual things about distribution-free tests is that they are often set up so that

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Would you reject or retain the null hypothesis in a Mann-Whitney test given the following information and assuming a one-tailed test and α = .05: a. n1 = 1, n2 = 25, W = 3 b. n1 = 5, n2 = 6, W = 14 c. n1 = 8, n2 = 9, W = 60

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Which of the distribution-free tests is roughly equivalent to the t test for two independent means?

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When using Wilcoxon's test for paired samples, subjects whose two scores are equal, yielding a difference score of zero, are usually

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The Kruskal-Wallis test is based on

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When we have relatively large sample sizes, the distribution-free tests for comparing two groups or sets of data discussed in the text have

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Re-analyze the previous data using the normal approximation. a. Calculate z and describe your conclusions. b. Which analysis is more appropriate for these data? Explain.

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Distribution free tests are more sensitive to means than to medians.

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