Exam 15: Nonparametric Statistics

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Comparing the output of strawberries grown on plots using fertilizer A with that grown on otherwise identical plots using fertilizer B, in order to make a general assessment of relative fertilizer effectiveness, may well call for:

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Which of the following statements is true?

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The Wilcoxon rank sum test (like most of the nonparametric tests presented in your book) actually tests to determine whether the population distributions have:

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You are performing the Wilcoxon rank-sum test. The 10th through 12th values in an ordered array of pooled sample data all equal $100, while the 9th value is less than $100 and the 13th value is more than $100. The appropriate ranks for the three $100 values are:

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A one-sample t-test is the parametric counterpart of the Wilcoxon signed rank test for matched pairs.

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Two psychometricians (educators who are experts in the field of psychological test design) were asked to rank six designs for a new standardized college entrance exam. Two psychometricians (educators who are experts in the field of psychological test design) were asked to rank six designs for a new standardized college entrance exam.   This problem uses Spearman's rank correlation coefficient to see if there is a (positive) relationship between the educators' rankings. The null and alternate hypotheses are as follows:   (There is no association between the rank pairs)   (The correlation between the rank pairs is positive) Describe why the test statistic   is called the rank correlation coefficient. ________________________________________________________ Test Statistic:   = ______________ Rejection region (for   = 0.05): Reject   if   > ______________ Conclude: ______________ There ______________ sufficient evidence to indicate there is any significant positive correlation between the educators' rankings. What does this result mean in the context of the problem? ________________________________________________________ What is the observed significance level for this test? ______________ This problem uses Spearman's rank correlation coefficient to see if there is a (positive) relationship between the educators' rankings. The null and alternate hypotheses are as follows: Two psychometricians (educators who are experts in the field of psychological test design) were asked to rank six designs for a new standardized college entrance exam.   This problem uses Spearman's rank correlation coefficient to see if there is a (positive) relationship between the educators' rankings. The null and alternate hypotheses are as follows:   (There is no association between the rank pairs)   (The correlation between the rank pairs is positive) Describe why the test statistic   is called the rank correlation coefficient. ________________________________________________________ Test Statistic:   = ______________ Rejection region (for   = 0.05): Reject   if   > ______________ Conclude: ______________ There ______________ sufficient evidence to indicate there is any significant positive correlation between the educators' rankings. What does this result mean in the context of the problem? ________________________________________________________ What is the observed significance level for this test? ______________ (There is no association between the rank pairs) Two psychometricians (educators who are experts in the field of psychological test design) were asked to rank six designs for a new standardized college entrance exam.   This problem uses Spearman's rank correlation coefficient to see if there is a (positive) relationship between the educators' rankings. The null and alternate hypotheses are as follows:   (There is no association between the rank pairs)   (The correlation between the rank pairs is positive) Describe why the test statistic   is called the rank correlation coefficient. ________________________________________________________ Test Statistic:   = ______________ Rejection region (for   = 0.05): Reject   if   > ______________ Conclude: ______________ There ______________ sufficient evidence to indicate there is any significant positive correlation between the educators' rankings. What does this result mean in the context of the problem? ________________________________________________________ What is the observed significance level for this test? ______________ (The correlation between the rank pairs is positive) Describe why the test statistic Two psychometricians (educators who are experts in the field of psychological test design) were asked to rank six designs for a new standardized college entrance exam.   This problem uses Spearman's rank correlation coefficient to see if there is a (positive) relationship between the educators' rankings. The null and alternate hypotheses are as follows:   (There is no association between the rank pairs)   (The correlation between the rank pairs is positive) Describe why the test statistic   is called the rank correlation coefficient. ________________________________________________________ Test Statistic:   = ______________ Rejection region (for   = 0.05): Reject   if   > ______________ Conclude: ______________ There ______________ sufficient evidence to indicate there is any significant positive correlation between the educators' rankings. What does this result mean in the context of the problem? ________________________________________________________ What is the observed significance level for this test? ______________ is called the rank correlation coefficient. ________________________________________________________ Test Statistic: Two psychometricians (educators who are experts in the field of psychological test design) were asked to rank six designs for a new standardized college entrance exam.   This problem uses Spearman's rank correlation coefficient to see if there is a (positive) relationship between the educators' rankings. The null and alternate hypotheses are as follows:   (There is no association between the rank pairs)   (The correlation between the rank pairs is positive) Describe why the test statistic   is called the rank correlation coefficient. ________________________________________________________ Test Statistic:   = ______________ Rejection region (for   = 0.05): Reject   if   > ______________ Conclude: ______________ There ______________ sufficient evidence to indicate there is any significant positive correlation between the educators' rankings. What does this result mean in the context of the problem? ________________________________________________________ What is the observed significance level for this test? ______________ = ______________ Rejection region (for Two psychometricians (educators who are experts in the field of psychological test design) were asked to rank six designs for a new standardized college entrance exam.   This problem uses Spearman's rank correlation coefficient to see if there is a (positive) relationship between the educators' rankings. The null and alternate hypotheses are as follows:   (There is no association between the rank pairs)   (The correlation between the rank pairs is positive) Describe why the test statistic   is called the rank correlation coefficient. ________________________________________________________ Test Statistic:   = ______________ Rejection region (for   = 0.05): Reject   if   > ______________ Conclude: ______________ There ______________ sufficient evidence to indicate there is any significant positive correlation between the educators' rankings. What does this result mean in the context of the problem? ________________________________________________________ What is the observed significance level for this test? ______________ = 0.05): Reject Two psychometricians (educators who are experts in the field of psychological test design) were asked to rank six designs for a new standardized college entrance exam.   This problem uses Spearman's rank correlation coefficient to see if there is a (positive) relationship between the educators' rankings. The null and alternate hypotheses are as follows:   (There is no association between the rank pairs)   (The correlation between the rank pairs is positive) Describe why the test statistic   is called the rank correlation coefficient. ________________________________________________________ Test Statistic:   = ______________ Rejection region (for   = 0.05): Reject   if   > ______________ Conclude: ______________ There ______________ sufficient evidence to indicate there is any significant positive correlation between the educators' rankings. What does this result mean in the context of the problem? ________________________________________________________ What is the observed significance level for this test? ______________ if Two psychometricians (educators who are experts in the field of psychological test design) were asked to rank six designs for a new standardized college entrance exam.   This problem uses Spearman's rank correlation coefficient to see if there is a (positive) relationship between the educators' rankings. The null and alternate hypotheses are as follows:   (There is no association between the rank pairs)   (The correlation between the rank pairs is positive) Describe why the test statistic   is called the rank correlation coefficient. ________________________________________________________ Test Statistic:   = ______________ Rejection region (for   = 0.05): Reject   if   > ______________ Conclude: ______________ There ______________ sufficient evidence to indicate there is any significant positive correlation between the educators' rankings. What does this result mean in the context of the problem? ________________________________________________________ What is the observed significance level for this test? ______________ > ______________ Conclude: ______________ There ______________ sufficient evidence to indicate there is any significant positive correlation between the educators' rankings. What does this result mean in the context of the problem? ________________________________________________________ What is the observed significance level for this test? ______________

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Which one of the following statements correctly states the difference between parametric and nonparametric statistical methods?

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A randomized block design analysis of variance test corresponds to:

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A toy store manager was interested in determining whether the assembly time is the same for three models of baby strollers. The manager selected five employees at random and asked each of them to assemble each of the strollers. The assembly time, in minutes, was recorded as follows: A toy store manager was interested in determining whether the assembly time is the same for three models of baby strollers. The manager selected five employees at random and asked each of them to assemble each of the strollers. The assembly time, in minutes, was recorded as follows:   The manager wasn't sure whether the assumptions for the usual analysis of variance were valid, so she decided to use a nonparametric procedure. Use the appropriate method to determine whether the assembly time is the same for the three models of baby strollers. Use   = 0.05. Test Statistic:   = ______________ Reject Region: Reject   if   > ______________ Conclude: ______________ The distributions of assembly time for the three models of baby strollers are ______________. The manager wasn't sure whether the assumptions for the usual analysis of variance were valid, so she decided to use a nonparametric procedure. Use the appropriate method to determine whether the assembly time is the same for the three models of baby strollers. Use A toy store manager was interested in determining whether the assembly time is the same for three models of baby strollers. The manager selected five employees at random and asked each of them to assemble each of the strollers. The assembly time, in minutes, was recorded as follows:   The manager wasn't sure whether the assumptions for the usual analysis of variance were valid, so she decided to use a nonparametric procedure. Use the appropriate method to determine whether the assembly time is the same for the three models of baby strollers. Use   = 0.05. Test Statistic:   = ______________ Reject Region: Reject   if   > ______________ Conclude: ______________ The distributions of assembly time for the three models of baby strollers are ______________. = 0.05. Test Statistic: A toy store manager was interested in determining whether the assembly time is the same for three models of baby strollers. The manager selected five employees at random and asked each of them to assemble each of the strollers. The assembly time, in minutes, was recorded as follows:   The manager wasn't sure whether the assumptions for the usual analysis of variance were valid, so she decided to use a nonparametric procedure. Use the appropriate method to determine whether the assembly time is the same for the three models of baby strollers. Use   = 0.05. Test Statistic:   = ______________ Reject Region: Reject   if   > ______________ Conclude: ______________ The distributions of assembly time for the three models of baby strollers are ______________. = ______________ Reject Region: Reject A toy store manager was interested in determining whether the assembly time is the same for three models of baby strollers. The manager selected five employees at random and asked each of them to assemble each of the strollers. The assembly time, in minutes, was recorded as follows:   The manager wasn't sure whether the assumptions for the usual analysis of variance were valid, so she decided to use a nonparametric procedure. Use the appropriate method to determine whether the assembly time is the same for the three models of baby strollers. Use   = 0.05. Test Statistic:   = ______________ Reject Region: Reject   if   > ______________ Conclude: ______________ The distributions of assembly time for the three models of baby strollers are ______________. if A toy store manager was interested in determining whether the assembly time is the same for three models of baby strollers. The manager selected five employees at random and asked each of them to assemble each of the strollers. The assembly time, in minutes, was recorded as follows:   The manager wasn't sure whether the assumptions for the usual analysis of variance were valid, so she decided to use a nonparametric procedure. Use the appropriate method to determine whether the assembly time is the same for the three models of baby strollers. Use   = 0.05. Test Statistic:   = ______________ Reject Region: Reject   if   > ______________ Conclude: ______________ The distributions of assembly time for the three models of baby strollers are ______________. > ______________ Conclude: ______________ The distributions of assembly time for the three models of baby strollers are ______________.

(Short Answer)
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The Wilcoxon signed rank test for matched pairs is the nonparametric counterpart of the paired two-sample t-test of The Wilcoxon signed rank test for matched pairs is the nonparametric counterpart of the paired two-sample t-test of   . .

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Twenty students are given an attitude test before and after viewing a motion picture designed to change their attitudes favorably toward a new curriculum. A high score indicates a favorable attitude and a low score indicates an unfavorable attitude, with the scores ranging from 1 to 30. This problem will use the sign test on the data given below to see if we can conclude the motion picture was successful in improving attitudes. Twenty students are given an attitude test before and after viewing a motion picture designed to change their attitudes favorably toward a new curriculum. A high score indicates a favorable attitude and a low score indicates an unfavorable attitude, with the scores ranging from 1 to 30. This problem will use the sign test on the data given below to see if we can conclude the motion picture was successful in improving attitudes.   Describe what the test statistic is for the sign test. ________________________________________________________ What is the value of the test statistic in this problem? ______________ Is this a one-tailed test or a two-tailed test? ______________ Find the rejection region for   = 0.10. Reject   when T > ______________ Using   as above, can we conclude the motion picture was successful in changing attitudes? ______________ Conclusion: The motion picture was ______________ in changing attitudes. At what level of significance could we reject H<sub>0</sub>? ______________ Describe what the test statistic is for the sign test. ________________________________________________________ What is the value of the test statistic in this problem? ______________ Is this a one-tailed test or a two-tailed test? ______________ Find the rejection region for Twenty students are given an attitude test before and after viewing a motion picture designed to change their attitudes favorably toward a new curriculum. A high score indicates a favorable attitude and a low score indicates an unfavorable attitude, with the scores ranging from 1 to 30. This problem will use the sign test on the data given below to see if we can conclude the motion picture was successful in improving attitudes.   Describe what the test statistic is for the sign test. ________________________________________________________ What is the value of the test statistic in this problem? ______________ Is this a one-tailed test or a two-tailed test? ______________ Find the rejection region for   = 0.10. Reject   when T > ______________ Using   as above, can we conclude the motion picture was successful in changing attitudes? ______________ Conclusion: The motion picture was ______________ in changing attitudes. At what level of significance could we reject H<sub>0</sub>? ______________ = 0.10. Reject Twenty students are given an attitude test before and after viewing a motion picture designed to change their attitudes favorably toward a new curriculum. A high score indicates a favorable attitude and a low score indicates an unfavorable attitude, with the scores ranging from 1 to 30. This problem will use the sign test on the data given below to see if we can conclude the motion picture was successful in improving attitudes.   Describe what the test statistic is for the sign test. ________________________________________________________ What is the value of the test statistic in this problem? ______________ Is this a one-tailed test or a two-tailed test? ______________ Find the rejection region for   = 0.10. Reject   when T > ______________ Using   as above, can we conclude the motion picture was successful in changing attitudes? ______________ Conclusion: The motion picture was ______________ in changing attitudes. At what level of significance could we reject H<sub>0</sub>? ______________ when T > ______________ Using Twenty students are given an attitude test before and after viewing a motion picture designed to change their attitudes favorably toward a new curriculum. A high score indicates a favorable attitude and a low score indicates an unfavorable attitude, with the scores ranging from 1 to 30. This problem will use the sign test on the data given below to see if we can conclude the motion picture was successful in improving attitudes.   Describe what the test statistic is for the sign test. ________________________________________________________ What is the value of the test statistic in this problem? ______________ Is this a one-tailed test or a two-tailed test? ______________ Find the rejection region for   = 0.10. Reject   when T > ______________ Using   as above, can we conclude the motion picture was successful in changing attitudes? ______________ Conclusion: The motion picture was ______________ in changing attitudes. At what level of significance could we reject H<sub>0</sub>? ______________ as above, can we conclude the motion picture was successful in changing attitudes? ______________ Conclusion: The motion picture was ______________ in changing attitudes. At what level of significance could we reject H0? ______________

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Which one of the following is not a reason why one might use a sign test to make a comparison between two populations?

(Multiple Choice)
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A parametric test is a hypothesis test that depends on certain specific assumptions about the probability distribution of population values or the sizes of population parameters.

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It is important to sponsors of television shows that viewers remember as much as possible about the commercials. The advertising executive of a large company is trying to decide which of two commercials to use on a weekly half-hour comedy. To help make a decision she decides to have 12 individuals watch both commercials. After each viewing, each respondent is given a quiz consisting of 10 questions. The number of correct responses is recorded and listed below. Assume that the quiz results are not normally distributed. It is important to sponsors of television shows that viewers remember as much as possible about the commercials. The advertising executive of a large company is trying to decide which of two commercials to use on a weekly half-hour comedy. To help make a decision she decides to have 12 individuals watch both commercials. After each viewing, each respondent is given a quiz consisting of 10 questions. The number of correct responses is recorded and listed below. Assume that the quiz results are not normally distributed.   Do these data provide enough evidence at the 5% significance level to conclude that the two commercials differ? z-statistic = ______________ Reject   if |z| > ______________ Conclusion: ______________ The data ______________ enough evidence at the 5% significance level to conclude that the two commercials differ Do these data provide enough evidence at the 5% significance level to conclude that the two commercials differ? z-statistic = ______________ Reject It is important to sponsors of television shows that viewers remember as much as possible about the commercials. The advertising executive of a large company is trying to decide which of two commercials to use on a weekly half-hour comedy. To help make a decision she decides to have 12 individuals watch both commercials. After each viewing, each respondent is given a quiz consisting of 10 questions. The number of correct responses is recorded and listed below. Assume that the quiz results are not normally distributed.   Do these data provide enough evidence at the 5% significance level to conclude that the two commercials differ? z-statistic = ______________ Reject   if |z| > ______________ Conclusion: ______________ The data ______________ enough evidence at the 5% significance level to conclude that the two commercials differ if |z| > ______________ Conclusion: ______________ The data ______________ enough evidence at the 5% significance level to conclude that the two commercials differ

(Short Answer)
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A one-sample t-test corresponds to a Kruskal-Wallis test.

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The significance level for a Wilcoxon signed rank test is 0.05. The alternative hypothesis is stated as: The location of population 1 is to the left of the location of population 2. The appropriate critical value for a sample of size 25 (that is, the number of nonzero differences is 25) is:

(Multiple Choice)
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In a Wilcoxon signed rank test for matched pairs with n = 35, the rank sums of the positive and negative differences are 380 and 225, respectively. The value of the standardized test statistic z is:

(Multiple Choice)
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A school principal suspected that a teacher's attitude toward a first-grader depended on his original judgment of the child's ability. The principal also suspected that much of that judgment was based on the first-grader's IQ score, which was usually known to the teacher. After three weeks of teaching, a teacher was asked to rank the nine children in his class from 1 (highest) to 9 (lowest) as to his opinion of their ability. A school principal suspected that a teacher's attitude toward a first-grader depended on his original judgment of the child's ability. The principal also suspected that much of that judgment was based on the first-grader's IQ score, which was usually known to the teacher. After three weeks of teaching, a teacher was asked to rank the nine children in his class from 1 (highest) to 9 (lowest) as to his opinion of their ability.   Do the data provide sufficient evidence to indicate a positive correlation between the teacher's ranks and the ranks of the IQs? Use   = .05. Test Statistic:   = ______________ Reject Region: Reject   if |   | > ______________ Conclude: ______________ A positive correlation ______________ between the teacher's ranks of the IQs. Do the data provide sufficient evidence to indicate a positive correlation between the teacher's ranks and the ranks of the IQs? Use A school principal suspected that a teacher's attitude toward a first-grader depended on his original judgment of the child's ability. The principal also suspected that much of that judgment was based on the first-grader's IQ score, which was usually known to the teacher. After three weeks of teaching, a teacher was asked to rank the nine children in his class from 1 (highest) to 9 (lowest) as to his opinion of their ability.   Do the data provide sufficient evidence to indicate a positive correlation between the teacher's ranks and the ranks of the IQs? Use   = .05. Test Statistic:   = ______________ Reject Region: Reject   if |   | > ______________ Conclude: ______________ A positive correlation ______________ between the teacher's ranks of the IQs. = .05. Test Statistic: A school principal suspected that a teacher's attitude toward a first-grader depended on his original judgment of the child's ability. The principal also suspected that much of that judgment was based on the first-grader's IQ score, which was usually known to the teacher. After three weeks of teaching, a teacher was asked to rank the nine children in his class from 1 (highest) to 9 (lowest) as to his opinion of their ability.   Do the data provide sufficient evidence to indicate a positive correlation between the teacher's ranks and the ranks of the IQs? Use   = .05. Test Statistic:   = ______________ Reject Region: Reject   if |   | > ______________ Conclude: ______________ A positive correlation ______________ between the teacher's ranks of the IQs. = ______________ Reject Region: Reject A school principal suspected that a teacher's attitude toward a first-grader depended on his original judgment of the child's ability. The principal also suspected that much of that judgment was based on the first-grader's IQ score, which was usually known to the teacher. After three weeks of teaching, a teacher was asked to rank the nine children in his class from 1 (highest) to 9 (lowest) as to his opinion of their ability.   Do the data provide sufficient evidence to indicate a positive correlation between the teacher's ranks and the ranks of the IQs? Use   = .05. Test Statistic:   = ______________ Reject Region: Reject   if |   | > ______________ Conclude: ______________ A positive correlation ______________ between the teacher's ranks of the IQs. if | A school principal suspected that a teacher's attitude toward a first-grader depended on his original judgment of the child's ability. The principal also suspected that much of that judgment was based on the first-grader's IQ score, which was usually known to the teacher. After three weeks of teaching, a teacher was asked to rank the nine children in his class from 1 (highest) to 9 (lowest) as to his opinion of their ability.   Do the data provide sufficient evidence to indicate a positive correlation between the teacher's ranks and the ranks of the IQs? Use   = .05. Test Statistic:   = ______________ Reject Region: Reject   if |   | > ______________ Conclude: ______________ A positive correlation ______________ between the teacher's ranks of the IQs. | > ______________ Conclude: ______________ A positive correlation ______________ between the teacher's ranks of the IQs.

(Short Answer)
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In testing In testing   at the 5% significance level, a sample of size 20 is used. The rejection region is: at the 5% significance level, a sample of size 20 is used. The rejection region is:

(Multiple Choice)
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The Friedman test statistic is approximately chi-squared distributed with (k - 1) degrees of freedom, provided that either the number of blocks b or the number of treatments k is greater than or equal to 5.

(True/False)
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