Exam 20: Nonparametric and Resampling Statistical Tests
Exam 1: Introduction61 Questions
Exam 2: Basic Concepts58 Questions
Exam 3: Displaying Data57 Questions
Exam 4: Measures of Central Tendency55 Questions
Exam 5: Measures of Variability62 Questions
Exam 6: The Normal Distribution59 Questions
Exam 7: Basic Concepts of Probability61 Questions
Exam 8: Sampling Distributions and Hypothesis Testing69 Questions
Exam 9: Correlation71 Questions
Exam 10: Regression66 Questions
Exam 11: Multiple Regression58 Questions
Exam 12: Hypothesis Tests Applied to Means: One Sample67 Questions
Exam 13: Hypothesis Tests Applied to Means: Two Related Samples59 Questions
Exam 14: Hypothesis Tests Applied to Means: Two Independent Samples63 Questions
Exam 15: Power70 Questions
Exam 16: One-Way Analysis of Variance85 Questions
Exam 17: Factorial Analysis of Variance74 Questions
Exam 18: Repeated-Measures Analysis of Variance62 Questions
Exam 19: Chi-Square56 Questions
Exam 20: Nonparametric and Resampling Statistical Tests45 Questions
Exam 21: Meta-Analysis57 Questions
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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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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.


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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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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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