Question 1 of 20
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5.0 Points |
The __________ test is useful for before/after experiments.
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A. goodness-of-fit |
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B. sign |
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C. median |
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D. chi-square |
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Question 2 of 20
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5.0 Points |
The __________ test is useful for drawing conclusions about data using nominal level of measurement.
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A. goodness-of-fit |
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B. sign |
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C. median |
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D. chi-square |
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Question 3 of 20
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5.0 Points |
In an experiment, a sample size of 10 is drawn, and a hypothesis test is set up to determine: H
0 : p = 0.50; H
1:p < or = 0.50; for a significance level of .10, the decision rule is as follows:
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A. Reject H0 if the number of successes is 2 or less. |
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B. Reject H0 if the number of successes is 8 or more. |
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C. Reject H0 if the number of successes is three or less. |
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D. Reject H0 if the number of successes is less than 2 or more than 8. |
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Question 4 of 20
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5.0 Points |
For a “before and after” test, 16 of a sample of 25 people improved their scores on a test after receiving computer-based instruction. For H
0 : p = 0.50; H
1:p is not equal to 0.50; and a significance level of .05:
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A. z = 1.2, fail to reject the null hypothesis. |
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B. z = 1.4, reject the null hypothesis. |
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C. z = 1.4, fail to reject the null hypothesis. |
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D. z = 1.64, reject the null hypothesis. |
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Question 5 of 20
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5.0 Points |
A sample group was surveyed to determine which of two brands of soap was preferred. H
0 :p = 0.50; H
1: p is not equal to 0.50. Thirty-eight of 60 people indicated a preference. At the .05 level of significance, we can conclude that:
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A. z = 0.75, fail to reject H0. |
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B. z = 1.94, fail to reject H0. |
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C. z = 1.94, reject H0. |
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D. z = 2.19, reject H0. |
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Question 6 of 20
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5.0 Points |
The performance of students on a test resulted in a mean score of 25. A new test is instituted and the instructor believes the mean score is now lower. A random sample of 64 students resulted in 40 scores below 25. At a significance level of α = .05:
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A. H0 : p = 0.50; H1:p < 0.50. |
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B. H0 : p = 0.50; H1:p > 0.50. |
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C. H0 : p = 25; H1:p > 25. |
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D. H0 : p = 25; H1:p < 25. |
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Question 7 of 20
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5.0 Points |
From the information presented in question #6:
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A. z = 3.75, we can reject the null hypothesis. |
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B. z = 1.875, we fail to reject the null hypothesis. |
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C. z = -1.625, we fail to reject the null hypothesis. |
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D. z = -1.875, we can reject the null hypothesis. |
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Question 8 of 20
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5.0 Points |
A golf club manufacturer claims that the median length of a drive using its driver is 250 yards. A consumer group disputes the claim, indicating that the median will be considerably less. A sample of 500 drives is measured; of these 220 were above 250 yards, and none was exactly 250 yards. The null and alternate hypotheses are:
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A. Ho: 0 = 250; H1: 0 < 250. |
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B. Ho: median = 250; H1: median > 250. |
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C. Ho: 0 > 250; H1: 0 < 250. |
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D. Ho: median = 250; H1: median < 250. |
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Question 9 of 20
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5.0 Points |
From the information presented in question #8, using a level of significance = .05:
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A. z = -1.74; we should fail to reject the null hypothesis. |
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B. z = 2.64; we should fail to reject the null hypothesis. |
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C. z = -2.72; we should fail to reject the null hypothesis. |
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D. z = -3.17; we should reject the null hypothesis. |
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Question 10 of 20
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5.0 Points |
The Wilcoxon rank-sum test:
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A. is a nonparametric test for which the assumption of normality is not required. |
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B. is used to determine if two independent samples came from equal populations. |
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C. requires that the two populations under consideration have equal variances. |
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D. Both A and B |
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Question 11 of 20
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5.0 Points |
A nonparametric test which can evaluate ordinal-scale data of a non-normal population is called the:
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A. Wilcoxon signed rank test. |
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B. Kruskal-Wallis test. |
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C. sign test. |
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D. median test. |
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Question 12 of 20
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5.0 Points |
A researcher wishes to test the differences between pairs of observations with a non-normal distribution. She should apply the:
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A. Wilcoxon signed rank test. |
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B. Kruskal-Wallis test. |
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C. Wilcoxon rank-sum test. |
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D. t test. |
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Question 13 of 20
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5.0 Points |
The data below indicate the rankings of a set of employees according to class theory and on-the-job practice evaluations:
| Theory |
1 |
7 |
2 |
10 |
4 |
8 |
5 |
3 |
6 |
9 |
| Practice |
2 |
8 |
1 |
7 |
3 |
9 |
6 |
5 |
4 |
10 |
What is the Spearman correlation of coefficient for the data?
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