Exam 16: Nonparametric Tests

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Most nonparametric tests require data measured on a ratio scale.

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Which is not a characteristic of the Wilcoxon rank sum (Mann-Whitney) test?

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The one-sample runs test uses a test statistic that is normally distributed, as long as the number of runs of each type is large enough.

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The Friedman test is often almost as powerful as two-factor ANOVA without replication (randomized block design).

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Which nonparametric test is analogous to a parametric k-sample test for means?

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The one-sample runs test is also called the Wald-Wolfowitz test named after its inventors.

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Which nonparametric test is used to test for agreement in ranks of paired data?

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The one-sample runs test is useful to detect nonrandom patterns in time-series data.

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You do not wish to assume normality in the population, yet you wish to compare central tendency in c samples. You decide to utilize MegaStat, whose menu is shown here: You do not wish to assume normality in the population, yet you wish to compare central tendency in c samples. You decide to utilize MegaStat, whose menu is shown here:   Which menu would you choose? Which menu would you choose?

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Parametric tests generally are more powerful than nonparametric tests when normality can be assumed.

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Individuals in four different age groups are asked to rate, on a scale of 1 to 10, three flavors of ice creams. Each group has the same number of individuals. Median ratings by the individuals are grouped by the flavor of ice cream and by age group. Which nonparametric test could be used to see if there is a difference in median ratings among the four age groups and three flavors?

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At the Food Barn, children can order from the adult menu (A) or the child's menu (C). Below is the pattern of menu orders for 24 children last Wednesday evening. A, A, A, A, C, A, A, C, C, C, A, A, A, A, A, A, C, C, C, A, C, C, C, C Which test would you choose to see if this pattern is random?

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Returns on an investor's stock portfolio (n = 19 stocks) are compared for the same stock in each of two consecutive quarters. Since the returns are not normally distributed (normality test p-values were .005 and .126 respectively), a nonparametric test was chosen. The test results are shown below.  Wilcoxon Paired Data Test\text { Wilcoxon Paired Data Test} n sum of ranks 19 247 Qtr 1 19 494 Qtr 2 38 741 total 370.50370.50 expected value 34.2534.25 standard deviation 3.59z- 3.59 z .0003p.0003 \mathrm { p } -value (two-tailed) Which is the best conclusion?

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The Kruskal-Wallis test is a test for randomness in sequential data.

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Which is not a characteristic of the Kruskal-Wallis test?

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The Kruskal-Wallis test applies even if the c samples to be compared are not independent.

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If the population is normal, we would usually prefer a nonparametric test.

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All of these are nonparametric tests except:

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The Wilcoxon signed-rank test is analogous to a parametric two-sample t test of means from independent samples.

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The Kruskal-Wallis test is less useful in finance or marketing, because normal populations can usually be assumed in financial or marketing data.

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