Deck 16: Nonparametric Tests

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Question
Most nonparametric tests require data measured on a ratio scale.
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Question
The one-sample runs test is similar to a test for autocorrelation.
Question
Parametric tests generally are more powerful than nonparametric tests when normality can be assumed.
Question
The Spearman rank correlation test compares medians of two paired data sets.
Question
The Wilcoxon signed-rank test is useful to compare more than two sample medians.
Question
The Wilcoxon signed-rank test is analogous to a one-sample parametric test of a mean.
Question
The one-sample runs test compares medians of two or more groups.
Question
Most nonparametric tests assume ordinal data.
Question
Nonparametric tests can be used in small samples.
Question
If the population is normal, we would usually prefer a nonparametric test.
Question
Rejection of a hypothesis using a nonparametric test is less convincing than using an equivalent parametric test, since nonparametric tests generally make fewer assumptions.
Question
The Wilcoxon signed-rank test is analogous to a parametric two-sample t test of means from independent samples.
Question
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.
Question
The one-sample runs test uses binary data (only two possible values).
Question
The one-sample runs test is also called the Wald-Wolfowitz test named after its inventors.
Question
The one-sample runs test is useful to detect nonrandom patterns in time-series data.
Question
Rejection of a hypothesis using a nonparametric test is more convincing than using an equivalent parametric test when the data are badly skewed.
Question
Nonparametric tests generally are more powerful than parametric tests when normality cannot be assumed.
Question
Nonparametric tests may require special tables for small samples.
Question
The Wilcoxon signed-rank test is useful to compare one sample median with a benchmark.
Question
The Kruskal-Wallis test is analogous to the parametric one-factor ANOVA.
Question
The Wilcoxon signed-rank test is an alternative to the one-sample t test for paired observations.
Question
The Kruskal-Wallis test is equivalent to comparing medians in c groups.
Question
The Mann-Whitney test is sometimes called the "Wilcoxon rank sum test" because it was formulated independently by different statisticians.
Question
The Kruskal-Wallis test applies even if the c samples to be compared are not independent.
Question
The Kruskal-Wallis test is analogous to the one-sample parametric t test for a mean.
Question
The Wilcoxon rank sum test (Mann-Whitney test) can be used even if population variances are unequal.
Question
The Kruskal-Wallis test requires c independent samples (where usually c > 2).
Question
The Kruskal-Wallis test does not require normal populations, but it does require them to be of similar shape.
Question
The Wilcoxon signed-rank test does not assume a normal population, but it does require a roughly symmetric population.
Question
The Kruskal-Wallis test is a test for randomness in sequential data.
Question
The Wilcoxon rank sum test (Mann-Whitney test) requires two independent samples.
Question
The Wilcoxon signed-rank test is analogous to a parametric t test comparing three or more medians.
Question
We sometimes call the Wilcoxon rank sum test the Mann/Whitney test, but the two are the same.
Question
The Wilcoxon rank sum test (Mann-Whitney test) can be used as a test for equality of two population medians.
Question
The Mann-Whitney test is analogous to a one-sample t test comparing a mean with a benchmark.
Question
The Wilcoxon signed-rank test is less powerful than a one-sample test of a mean when the population is actually normal.
Question
The Wilcoxon signed-rank test is robust to outliers in the data if the population is at least somewhat symmetric.
Question
The Wilcoxon signed-rank test has good power over a range of nonnormal populations.
Question
The Wilcoxon rank sum test (Mann-Whitney test) utilizes the ranks of two independent samples.
Question
Which nonparametric test would we use to compare ratings assigned to n pairs of bonds by two different rating agencies, if the bonds are rated on an ordinal scale (Aaa, Aa, A, Baa, Ba B, etc.)?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
Question
Spearman's rank correlation coefficient lies within the range 0 to 1.00 inclusive.
Question
The Friedman test compares medians when there are two grouping factors (rows, columns).
Question
Spearman's rank correlation always lies within the range -1.00 to +1.00.
Question
The Kruskal-Wallis test is less useful in finance or marketing, because normal populations can usually be assumed in financial or marketing data.
Question
The Friedman test is a nonparametric equivalent to two-factor ANOVA without replication.
Question
The Friedman test is often almost as powerful as two-factor ANOVA without replication (randomized block design).
Question
Spearman's rank correlation is named for a British behavioral psychologist who was studying human intelligence.
Question
The Friedman test is a nonparametric equivalent to a parametric one-sample t test comparing a mean with a benchmark.
Question
The Friedman test resembles the Kruskal-Wallis test except that there are two grouping factors (rows, columns) instead of one grouping factor (columns).
Question
Which nonparametric test is used to compare a one-sample median with a benchmark?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
Question
Spearman's rank correlation is named for a British brewer who was testing beer samples.
Question
Which nonparametric test is analogous to a parametric one-sample t test for differences in paired data?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
Question
Spearman's rank correlation is used to measure agreement in rankings of paired (x, y) data.
Question
Which nonparametric test is analogous to a parametric two-sample t test for means?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
Question
The Friedman test requires groups of equal size.
Question
The Kruskal-Wallis test is almost as powerful as one-factor ANOVA even when normality can be assumed.
Question
Which nonparametric test is analogous to a parametric k-sample test for means?

A)Kruskal-Wallis test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Wald-Wolfowitz one-sample runs test
Question
All of these are nonparametric tests except:

A)Spearman rank correlation test.
B)Friedman test.
C)Student's t test.
D)Kruskal-Wallis test.
Question
Which nonparametric test has no parametric counterpart?

A)Wald-Wolfowitz one-sample runs test
B)Spearman rank correlation test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
Question
Twenty customers are randomly chosen and each is given a sample of Nut Butter ice cream to taste. The customers rank the taste of the ice cream on a 10-point scale. Each is then given a sample of Chewy Gooey ice cream to taste and rank on a 10-point scale. Based on the 20 customers' ratings of each flavor, the research analyst conducting the survey wishes to determine if one flavor is preferred over the other. Which nonparametric test would you use to determine if there is a difference in the ratings?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
Question
Delta Air Lines wants to determine if the number of no-shows for flights originating from Detroit is higher than from Minneapolis. A sample of 20 flights from each city is taken and the number of no-shows is determined for each flight. Which nonparametric test would you use to determine whether the number of no-shows is greater in Detroit?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
Question
Which parametric test resembles the nonparametric Spearman's rank test?

A)t test of a correlation coefficient
B)t test of two sample means
C)t test of one sample mean
D)F test of variances
Question
Which nonparametric test is analogous to a two-factor ANOVA without replication?

A)Wilcoxon signed-rank test
B)Friedman test
C)Mann-Whitney test
D)Kruskal-Wallis test
Question
Attendees at an outdoor concert can buy pavilion tickets (A) or lawn tickets (B). Below is the output for the one-sample runs to test whether there is a pattern in 32 consecutive ticket purchases. Runs Test

 n  runs 216 A 116 B 3212 total \begin{array}{|l|l|l|}\hline\text { n }&\text { runs }\\\hline 21 & 6& \text { A }\\\hline 11 & 6& \text { B }\\\hline 32 & 12& \text { total }\\\hline\end{array}


15.44 expected value
2.502.50 standard deviation
1.17z- 1.17 z
.2403.2403 p-value (two-tailed) The best conclusion at ? = .05 would be:

A)the pattern is random.
B)there is a difference in medians.
C)the sample sizes are too small.
D)the sample sizes must be equal.
Question
Which is a nonparametric test for runs (autocorrelation) in a sequence of binary data?

A)Kruskal-Wallis test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Wald-Wolfowitz one-sample runs test
Question
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?

A)Kruskal-Wallis test
B)Wilcoxon rank sum (Mann-Whitney) test
C)Wald-Wolfowitz one-sample runs test
D)Wilcoxon test
Question
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 statement is most accurate?

A)Neither sample size (for outcomes A or C) is large enough for a runs test using z.
B)Both sample sizes (for outcomes A and C) are large enough for a runs test using z.
C)Only one outcome has a large enough sample for a runs test using z.
D)This type of data would not be suited for a runs test using z.
Question
If there are three or more populations with ordinal data, what is the appropriate test to determine whether the distributions are equal?

A)Friedman test
B)t test
C)ANOVA
D)Kruskal-Wallis test
Question
A clinic has four doctors. They wish to compare the amount of time that doctors spend with their patients. It is suspected that times may not be normally distributed but are otherwise assumed similar except in center, so a nonparametric test was chosen. The Kruskal-Wallis test results are shown below.  Kruskal-Wallis Test \text { Kruskal-Wallis Test }
 Wedian n Avg. Rank 27.001119.18 Doc A 28.501415.93 Doc B 46.00936.39 Doc C 31.001124.86 Doc D 31.0045 Total \begin{array}{ccrl}\hline \text { Wedian } & n & \text { Avg. Rank } & \\\hline 27.00 & 11 & 19.18 & \text { Doc A } \\28.50 & 14 & 15.93 & \text { Doc B } \\46.00 & 9 & 36.39 & \text { Doc C } \\31.00 & 11 & 24.86 & \text { Doc D } \\\hline 31.00 & 45 & & \text { Total }\end{array}
14.599 H \mathrm{H} (corrected for ties)
3 d.f.
, 0022 p-value Which is the best conclusion?

A)The doctors have the same median times at ? = .01.
B)The doctors have different median times at ? = .01.
C)The sample size is insufficient for this kind of test.
D)A one-factor ANOVA would be a better kind of test.
Question
Which is not a characteristic of the Wilcoxon rank sum (Mann-Whitney) test?

A)It can be used as a test for equality of two population medians.
B)It is analogous to a one-sample t test comparing a mean with a benchmark.
C)It requires independent samples from populations with equal variances.
D)It is similar to one-factor ANOVA when we have c independent samples.
Question
Which is not true of the one-sample runs test?

A)It is also called the Wald-Wolfowitz test named after its inventors.
B)Its purpose is to detect nonrandomness.
C)It cannot be applied to sequential observations.
D)It is similar to a test for autocorrelation.
Question
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. Spearman Rank Correlation

 Qtr1  Qtr2 Qtr1 1.000 Qtr2 .5771.000\begin{array}{|r|r|r|}\hline&\text { Qtr1 }&\text { Qtr2}\\\hline \text { Qtr1 }&1.000 & \\\hline \text { Qtr2 }&.577 & 1.000 \\\hline\end{array}

19 sample size
±.456\pm .456 critical value .05 (two-tail)
±.575\pm .575 critical value .01 (two-tail) Which is the best conclusion?

A)The returns are correlated neither at ? = .05 nor at ? = .01.
B)The returns are correlated at ? = .05 but not at ? = .01.
C)The returns are correlated at ? = .01 but not at ? = .05.
D)The returns are correlated both at ? = .05 and at ? = .01.
Question
Which is not a characteristic of the Kruskal-Wallis test?

A)It is analogous to the parametric one-factor ANOVA.
B)It does not make any assumptions about the populations.
C)It is useful in comparing the medians in c groups.
D)It does not require normal distributions of populations.
Question
Hoping to reduce the waiting time, a doctor's office tried a new way of scheduling its appointments. Populations of waiting times are believed to be similar except in central tendency. However, waiting times may not be normally distributed, so a nonparametric test was chosen to compare the waiting times. The Wilcoxon/Mann-Whitney test results are shown below:  Mann/Whitney Test \text { Mann/Whitney Test }

 n  sum of ranks 21600.5 Old Way25480.5 New Way461081 Total\begin{array}{|c|c|c|}\hline\text { n }&\text { sum of ranks }\\\hline 21 & 600.5& \text { Old Way}\\\hline 25 & 480.5& \text { New Way}\\\hline 46 & 1081& \text { Total}\\\hline\end{array}

493.50493.50 expected value
45.3145.31 standard deviation
2.35z2.35 \mathrm { z } , corrected for ties
.0094p.0094 \mathrm { p } -value (one-tailed, upper) Which is the best conclusion?

A)The medians differ at ? = .01.
B)The means differ at ? = .01.
C)The samples differ at ? = .01.
D)There are no differences at ? = .01.
Question
The dean of Oxnard business school wants to know if there is a difference in computer skills in four majors (marketing, finance, operations, accounting). A 20-question skills test is given to 10 randomly chosen students in each major. Which nonparametric test could be used by the dean to see if there is a difference in computer skills of students in the various majors?

A)Wald-Wolfowitz test
B)Wilcoxon signed-rank test
C)Mann-Whitney test
D)Kruskal-Wallis test
Question
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?

A)Wilcoxon signed-rank test
B)Friedman test
C)Mann-Whitney test
D)Kruskal-Wallis test
Question
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 19247Qtr 1 19494Qtr 2 38741 total\begin{array}{|l|l|l|}\hline\text { n }&\text { sum of ranks }\\\hline 19 & 247& \text {Qtr 1 }\\\hline 19 & 494& \text {Qtr 2 }\\\hline 38 & 741& \text { total}\\\hline\end{array}


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?

A)The means are the same at ? = .01.
B)The medians are the same at ? = .01.
C)The means differ at ? = .01.
D)The medians differ at ? = .01.
Question
Which nonparametric test is used to test for agreement in ranks of paired data?

A)Spearman test
B)Friedman test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
Question
Which nonparametric test is used to detect nonrandomness in sequential observations?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
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Deck 16: Nonparametric Tests
1
Most nonparametric tests require data measured on a ratio scale.
False
2
The one-sample runs test is similar to a test for autocorrelation.
True
3
Parametric tests generally are more powerful than nonparametric tests when normality can be assumed.
True
4
The Spearman rank correlation test compares medians of two paired data sets.
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5
The Wilcoxon signed-rank test is useful to compare more than two sample medians.
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6
The Wilcoxon signed-rank test is analogous to a one-sample parametric test of a mean.
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7
The one-sample runs test compares medians of two or more groups.
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8
Most nonparametric tests assume ordinal data.
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9
Nonparametric tests can be used in small samples.
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10
If the population is normal, we would usually prefer a nonparametric test.
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11
Rejection of a hypothesis using a nonparametric test is less convincing than using an equivalent parametric test, since nonparametric tests generally make fewer assumptions.
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12
The Wilcoxon signed-rank test is analogous to a parametric two-sample t test of means from independent samples.
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13
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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14
The one-sample runs test uses binary data (only two possible values).
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15
The one-sample runs test is also called the Wald-Wolfowitz test named after its inventors.
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16
The one-sample runs test is useful to detect nonrandom patterns in time-series data.
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17
Rejection of a hypothesis using a nonparametric test is more convincing than using an equivalent parametric test when the data are badly skewed.
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18
Nonparametric tests generally are more powerful than parametric tests when normality cannot be assumed.
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19
Nonparametric tests may require special tables for small samples.
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20
The Wilcoxon signed-rank test is useful to compare one sample median with a benchmark.
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21
The Kruskal-Wallis test is analogous to the parametric one-factor ANOVA.
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22
The Wilcoxon signed-rank test is an alternative to the one-sample t test for paired observations.
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23
The Kruskal-Wallis test is equivalent to comparing medians in c groups.
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24
The Mann-Whitney test is sometimes called the "Wilcoxon rank sum test" because it was formulated independently by different statisticians.
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25
The Kruskal-Wallis test applies even if the c samples to be compared are not independent.
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26
The Kruskal-Wallis test is analogous to the one-sample parametric t test for a mean.
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27
The Wilcoxon rank sum test (Mann-Whitney test) can be used even if population variances are unequal.
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28
The Kruskal-Wallis test requires c independent samples (where usually c > 2).
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29
The Kruskal-Wallis test does not require normal populations, but it does require them to be of similar shape.
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30
The Wilcoxon signed-rank test does not assume a normal population, but it does require a roughly symmetric population.
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31
The Kruskal-Wallis test is a test for randomness in sequential data.
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32
The Wilcoxon rank sum test (Mann-Whitney test) requires two independent samples.
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33
The Wilcoxon signed-rank test is analogous to a parametric t test comparing three or more medians.
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34
We sometimes call the Wilcoxon rank sum test the Mann/Whitney test, but the two are the same.
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35
The Wilcoxon rank sum test (Mann-Whitney test) can be used as a test for equality of two population medians.
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36
The Mann-Whitney test is analogous to a one-sample t test comparing a mean with a benchmark.
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37
The Wilcoxon signed-rank test is less powerful than a one-sample test of a mean when the population is actually normal.
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38
The Wilcoxon signed-rank test is robust to outliers in the data if the population is at least somewhat symmetric.
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39
The Wilcoxon signed-rank test has good power over a range of nonnormal populations.
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40
The Wilcoxon rank sum test (Mann-Whitney test) utilizes the ranks of two independent samples.
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41
Which nonparametric test would we use to compare ratings assigned to n pairs of bonds by two different rating agencies, if the bonds are rated on an ordinal scale (Aaa, Aa, A, Baa, Ba B, etc.)?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
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42
Spearman's rank correlation coefficient lies within the range 0 to 1.00 inclusive.
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43
The Friedman test compares medians when there are two grouping factors (rows, columns).
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44
Spearman's rank correlation always lies within the range -1.00 to +1.00.
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45
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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46
The Friedman test is a nonparametric equivalent to two-factor ANOVA without replication.
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47
The Friedman test is often almost as powerful as two-factor ANOVA without replication (randomized block design).
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48
Spearman's rank correlation is named for a British behavioral psychologist who was studying human intelligence.
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49
The Friedman test is a nonparametric equivalent to a parametric one-sample t test comparing a mean with a benchmark.
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50
The Friedman test resembles the Kruskal-Wallis test except that there are two grouping factors (rows, columns) instead of one grouping factor (columns).
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51
Which nonparametric test is used to compare a one-sample median with a benchmark?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
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52
Spearman's rank correlation is named for a British brewer who was testing beer samples.
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53
Which nonparametric test is analogous to a parametric one-sample t test for differences in paired data?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
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54
Spearman's rank correlation is used to measure agreement in rankings of paired (x, y) data.
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55
Which nonparametric test is analogous to a parametric two-sample t test for means?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
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56
The Friedman test requires groups of equal size.
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57
The Kruskal-Wallis test is almost as powerful as one-factor ANOVA even when normality can be assumed.
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58
Which nonparametric test is analogous to a parametric k-sample test for means?

A)Kruskal-Wallis test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Wald-Wolfowitz one-sample runs test
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59
All of these are nonparametric tests except:

A)Spearman rank correlation test.
B)Friedman test.
C)Student's t test.
D)Kruskal-Wallis test.
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60
Which nonparametric test has no parametric counterpart?

A)Wald-Wolfowitz one-sample runs test
B)Spearman rank correlation test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
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61
Twenty customers are randomly chosen and each is given a sample of Nut Butter ice cream to taste. The customers rank the taste of the ice cream on a 10-point scale. Each is then given a sample of Chewy Gooey ice cream to taste and rank on a 10-point scale. Based on the 20 customers' ratings of each flavor, the research analyst conducting the survey wishes to determine if one flavor is preferred over the other. Which nonparametric test would you use to determine if there is a difference in the ratings?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
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62
Delta Air Lines wants to determine if the number of no-shows for flights originating from Detroit is higher than from Minneapolis. A sample of 20 flights from each city is taken and the number of no-shows is determined for each flight. Which nonparametric test would you use to determine whether the number of no-shows is greater in Detroit?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
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63
Which parametric test resembles the nonparametric Spearman's rank test?

A)t test of a correlation coefficient
B)t test of two sample means
C)t test of one sample mean
D)F test of variances
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64
Which nonparametric test is analogous to a two-factor ANOVA without replication?

A)Wilcoxon signed-rank test
B)Friedman test
C)Mann-Whitney test
D)Kruskal-Wallis test
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65
Attendees at an outdoor concert can buy pavilion tickets (A) or lawn tickets (B). Below is the output for the one-sample runs to test whether there is a pattern in 32 consecutive ticket purchases. Runs Test

 n  runs 216 A 116 B 3212 total \begin{array}{|l|l|l|}\hline\text { n }&\text { runs }\\\hline 21 & 6& \text { A }\\\hline 11 & 6& \text { B }\\\hline 32 & 12& \text { total }\\\hline\end{array}


15.44 expected value
2.502.50 standard deviation
1.17z- 1.17 z
.2403.2403 p-value (two-tailed) The best conclusion at ? = .05 would be:

A)the pattern is random.
B)there is a difference in medians.
C)the sample sizes are too small.
D)the sample sizes must be equal.
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66
Which is a nonparametric test for runs (autocorrelation) in a sequence of binary data?

A)Kruskal-Wallis test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Wald-Wolfowitz one-sample runs test
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67
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?

A)Kruskal-Wallis test
B)Wilcoxon rank sum (Mann-Whitney) test
C)Wald-Wolfowitz one-sample runs test
D)Wilcoxon test
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68
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 statement is most accurate?

A)Neither sample size (for outcomes A or C) is large enough for a runs test using z.
B)Both sample sizes (for outcomes A and C) are large enough for a runs test using z.
C)Only one outcome has a large enough sample for a runs test using z.
D)This type of data would not be suited for a runs test using z.
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69
If there are three or more populations with ordinal data, what is the appropriate test to determine whether the distributions are equal?

A)Friedman test
B)t test
C)ANOVA
D)Kruskal-Wallis test
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70
A clinic has four doctors. They wish to compare the amount of time that doctors spend with their patients. It is suspected that times may not be normally distributed but are otherwise assumed similar except in center, so a nonparametric test was chosen. The Kruskal-Wallis test results are shown below.  Kruskal-Wallis Test \text { Kruskal-Wallis Test }
 Wedian n Avg. Rank 27.001119.18 Doc A 28.501415.93 Doc B 46.00936.39 Doc C 31.001124.86 Doc D 31.0045 Total \begin{array}{ccrl}\hline \text { Wedian } & n & \text { Avg. Rank } & \\\hline 27.00 & 11 & 19.18 & \text { Doc A } \\28.50 & 14 & 15.93 & \text { Doc B } \\46.00 & 9 & 36.39 & \text { Doc C } \\31.00 & 11 & 24.86 & \text { Doc D } \\\hline 31.00 & 45 & & \text { Total }\end{array}
14.599 H \mathrm{H} (corrected for ties)
3 d.f.
, 0022 p-value Which is the best conclusion?

A)The doctors have the same median times at ? = .01.
B)The doctors have different median times at ? = .01.
C)The sample size is insufficient for this kind of test.
D)A one-factor ANOVA would be a better kind of test.
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71
Which is not a characteristic of the Wilcoxon rank sum (Mann-Whitney) test?

A)It can be used as a test for equality of two population medians.
B)It is analogous to a one-sample t test comparing a mean with a benchmark.
C)It requires independent samples from populations with equal variances.
D)It is similar to one-factor ANOVA when we have c independent samples.
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72
Which is not true of the one-sample runs test?

A)It is also called the Wald-Wolfowitz test named after its inventors.
B)Its purpose is to detect nonrandomness.
C)It cannot be applied to sequential observations.
D)It is similar to a test for autocorrelation.
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73
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. Spearman Rank Correlation

 Qtr1  Qtr2 Qtr1 1.000 Qtr2 .5771.000\begin{array}{|r|r|r|}\hline&\text { Qtr1 }&\text { Qtr2}\\\hline \text { Qtr1 }&1.000 & \\\hline \text { Qtr2 }&.577 & 1.000 \\\hline\end{array}

19 sample size
±.456\pm .456 critical value .05 (two-tail)
±.575\pm .575 critical value .01 (two-tail) Which is the best conclusion?

A)The returns are correlated neither at ? = .05 nor at ? = .01.
B)The returns are correlated at ? = .05 but not at ? = .01.
C)The returns are correlated at ? = .01 but not at ? = .05.
D)The returns are correlated both at ? = .05 and at ? = .01.
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74
Which is not a characteristic of the Kruskal-Wallis test?

A)It is analogous to the parametric one-factor ANOVA.
B)It does not make any assumptions about the populations.
C)It is useful in comparing the medians in c groups.
D)It does not require normal distributions of populations.
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75
Hoping to reduce the waiting time, a doctor's office tried a new way of scheduling its appointments. Populations of waiting times are believed to be similar except in central tendency. However, waiting times may not be normally distributed, so a nonparametric test was chosen to compare the waiting times. The Wilcoxon/Mann-Whitney test results are shown below:  Mann/Whitney Test \text { Mann/Whitney Test }

 n  sum of ranks 21600.5 Old Way25480.5 New Way461081 Total\begin{array}{|c|c|c|}\hline\text { n }&\text { sum of ranks }\\\hline 21 & 600.5& \text { Old Way}\\\hline 25 & 480.5& \text { New Way}\\\hline 46 & 1081& \text { Total}\\\hline\end{array}

493.50493.50 expected value
45.3145.31 standard deviation
2.35z2.35 \mathrm { z } , corrected for ties
.0094p.0094 \mathrm { p } -value (one-tailed, upper) Which is the best conclusion?

A)The medians differ at ? = .01.
B)The means differ at ? = .01.
C)The samples differ at ? = .01.
D)There are no differences at ? = .01.
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76
The dean of Oxnard business school wants to know if there is a difference in computer skills in four majors (marketing, finance, operations, accounting). A 20-question skills test is given to 10 randomly chosen students in each major. Which nonparametric test could be used by the dean to see if there is a difference in computer skills of students in the various majors?

A)Wald-Wolfowitz test
B)Wilcoxon signed-rank test
C)Mann-Whitney test
D)Kruskal-Wallis test
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77
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?

A)Wilcoxon signed-rank test
B)Friedman test
C)Mann-Whitney test
D)Kruskal-Wallis test
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78
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 19247Qtr 1 19494Qtr 2 38741 total\begin{array}{|l|l|l|}\hline\text { n }&\text { sum of ranks }\\\hline 19 & 247& \text {Qtr 1 }\\\hline 19 & 494& \text {Qtr 2 }\\\hline 38 & 741& \text { total}\\\hline\end{array}


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?

A)The means are the same at ? = .01.
B)The medians are the same at ? = .01.
C)The means differ at ? = .01.
D)The medians differ at ? = .01.
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79
Which nonparametric test is used to test for agreement in ranks of paired data?

A)Spearman test
B)Friedman test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
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80
Which nonparametric test is used to detect nonrandomness in sequential observations?

A)Wald-Wolfowitz one-sample runs test
B)Wilcoxon signed-rank test
C)Wilcoxon rank sum (Mann-Whitney) test
D)Kruskal-Wallis test
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Unlock Deck
Unlock for access to all 85 flashcards in this deck.