Question 1 of 20 | 5.0 Points |
The __________ test is useful for before/after experiments. | A. goodness-of-fit | | | B. sign | | | C. median | | | D. chi-square | |
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Question 2 of 20 | 5.0 Points |
The __________ test is useful for drawing conclusions about data using nominal level of measurement. | A. goodness-of-fit | | | B. sign | | | C. median | | | D. chi-square | |
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Question 3 of 20 | 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: | A. Reject H0 if the number of successes is 2 or less. | | | B. Reject H0 if the number of successes is 8 or more. | | | C. Reject H0 if the number of successes is three or less. | | | D. Reject H0 if the number of successes is less than 2 or more than 8. | |
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Question 4 of 20 | 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: | A. z = 1.2, fail to reject the null hypothesis. | | | B. z = 1.4, reject the null hypothesis. | | | C. z = 1.4, fail to reject the null hypothesis. | | | D. z = 1.64, reject the null hypothesis. | |
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Question 5 of 20 | 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: | A. z = 0.75, fail to reject H0. | | | B. z = 1.94, fail to reject H0. | | | C. z = 1.94, reject H0. | | | D. z = 2.19, reject H0. | |
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Question 6 of 20 | 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: | A. H0 : p = 0.50; H1:p < 0.50. | | | B. H0 : p = 0.50; H1:p > 0.50. | | | C. H0 : p = 25; H1:p > 25. | | | D. H0 : p = 25; H1:p < 25. | |
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Question 7 of 20 | 5.0 Points |
From the information presented in question #6: | A. z = 3.75, we can reject the null hypothesis. | | | B. z = 1.875, we fail to reject the null hypothesis. | | | C. z = -1.625, we fail to reject the null hypothesis. | | | D. z = -1.875, we can reject the null hypothesis. | |
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Question 8 of 20 | 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: | A. Ho: 0 = 250; H1: 0 < 250. | | | B. Ho: median = 250; H1: median > 250. | | | C. Ho: 0 > 250; H1: 0 < 250. | | | D. Ho: median = 250; H1: median < 250. | |
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Question 9 of 20 | 5.0 Points |
From the information presented in question #8, using a level of significance = .05: | A. z = -1.74; we should fail to reject the null hypothesis. | | | B. z = 2.64; we should fail to reject the null hypothesis. | | | C. z = -2.72; we should fail to reject the null hypothesis. | | | D. z = -3.17; we should reject the null hypothesis. | |
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Question 10 of 20 | 5.0 Points |
The Wilcoxon rank-sum test: | A. is a nonparametric test for which the assumption of normality is not required. | | | B. is used to determine if two independent samples came from equal populations. | | | C. requires that the two populations under consideration have equal variances. | | | D. Both A and B | |
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Question 11 of 20 | 5.0 Points |
A nonparametric test which can evaluate ordinal-scale data of a non-normal population is called the: | A. Wilcoxon signed rank test. | | | B. Kruskal-Wallis test. | | | C. sign test. | | | D. median test. | |
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Question 12 of 20 | 5.0 Points |
A researcher wishes to test the differences between pairs of observations with a non-normal distribution. She should apply the: | A. Wilcoxon signed rank test. | | | B. Kruskal-Wallis test. | | | C. Wilcoxon rank-sum test. | | | D. t test. | |
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Question 13 of 20 | 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? | A. -0.0606 | | | B. 0.1454 | | | C. 0.606 | | | D. 0.8545 | |
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Question 14 of 20 | 5.0 Points |
For the value of rs determined, a test of significance indicates that: | A. t = -0.45, a weak negative relationship between the two variables. | | | B. t = - 0.06, a strong negative relationship between the variables. | | | C. t = 0.45, a weak positive relationship between the two variables. | | | D. t = 4.65, a strong positive relationship between the variables. | |
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Question 15 of 20 | 5.0 Points |
To determine whether four populations are equal, a sample from each population was selected at random and using the Kruskal-Wallis test, H was computed to be 2.09. What is our decision at the 0.05 level of risk? | A. Fail to reject the null hypothesis because 0.05 < 2.09 | | | B. Fail to reject the null hypothesis because 2.09 < 7.815 | | | C. Reject the null hypothesis because 7.815 is > 2.09 | | | D. Reject the null hypothesis because 2.09 > critical value of 1.96 | |
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Question 16 of 20 | 5.0 Points |
A soap manufacturer is experimenting with several formulas of soap powder and three of the formulas were selected for further testing by a panel of homemakers. The ratings for the three formulas are as follows: | A | 35 | 36 | 44 | 42 | 37 | 40 | | B | 43 | 44 | 42 | 32 | 39 | 41 | | C | 46 | 47 | 40 | 36 | 45 | 49 |
What is the value of chi-square at the 5% level of significance? | A. 6.009 | | | B. 6 | | | C. 5.991 | | | D. 5 | |
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Question 17 of 20 | 5.0 Points |
Which of the following values of Spearman's coefficient of rank correlation indicates the strongest relationship between two variables? | A. –0.91 | | | B. –0.05 | | | C. +0.64 | | | D. +0.89 | |
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Question 18 of 20 | 5.0 Points |
Suppose ranks are assigned to a set of data from low to high with $10 being ranked 1, $12 being ranked 2, and $21 being ranked 3. What ranks would be assigned to $26, $26 and $26? | A. 4, 5, 6 | | | B. 4, 4, 4 | | | C. 5, 5, 5 | | | D. 5.5, 5.5, 5.5 | |
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Question 19 of 20 | 5.0 Points |
Two movie reviewers gave their ratings (0 to 4 stars) to ten movies released this past month as follows: | Movie | A | B | C | D | E | F | G | H | I | J | | S's Rating | 4 | 2 | 3.5 | 1 | 0 | 3 | 2.5 | 4 | 2 | 0 | | T's Rating | 3 | 3 | 3 | 2.5 | 1.5 | 3.5 | 4 | 3 | 2 | 1 |
What is the rank order correlation? | A. 48 | | | B. 0.7091 | | | C. 2.306 | | | D. 2.844 | |
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Question 20 of 20 | 5.0 Points |
What is a requirement that must be met before the Kruskal-Wallis one-way analysis of variance by ranks test can be applied? | A. Populations must be normal or near normal | | | B. Samples must be independent | | | C. Population standard deviations must be equal | | | D. Data must be at least interval level | |
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