Deck 15: Chi Square and Other Nonparametric Procedures

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Question
In the context of <strong>In the context of   ,expected frequency is the frequency we</strong> A)expect in a category if the sample data represent the distribution of frequencies in the population described by   . B)observe in a category of sample data. C)expect in a category if the sample data represent the distribution of frequencies in the population described by   . D)expect in a category of sample data if the experiment is repeated. <div style=padding-top: 35px> ,expected frequency is the frequency we

A)expect in a category if the sample data represent the distribution of frequencies in the population described by <strong>In the context of   ,expected frequency is the frequency we</strong> A)expect in a category if the sample data represent the distribution of frequencies in the population described by   . B)observe in a category of sample data. C)expect in a category if the sample data represent the distribution of frequencies in the population described by   . D)expect in a category of sample data if the experiment is repeated. <div style=padding-top: 35px> .
B)observe in a category of sample data.
C)expect in a category if the sample data represent the distribution of frequencies in the population described by <strong>In the context of   ,expected frequency is the frequency we</strong> A)expect in a category if the sample data represent the distribution of frequencies in the population described by   . B)observe in a category of sample data. C)expect in a category if the sample data represent the distribution of frequencies in the population described by   . D)expect in a category of sample data if the experiment is repeated. <div style=padding-top: 35px> .
D)expect in a category of sample data if the experiment is repeated.
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Question
Which of the following violates the assumptions of the one-way <strong>Which of the following violates the assumptions of the one-way   ?</strong> A)The independent variable is a categorical or nominal variable. B)Subjects may be measured in more than one category. C)The computations are based on the responses of all subjects in the study. D)The   in any category is equal to 5 or more. <div style=padding-top: 35px> ?

A)The independent variable is a categorical or nominal variable.
B)Subjects may be measured in more than one category.
C)The computations are based on the responses of all subjects in the study.
D)The <strong>Which of the following violates the assumptions of the one-way   ?</strong> A)The independent variable is a categorical or nominal variable. B)Subjects may be measured in more than one category. C)The computations are based on the responses of all subjects in the study. D)The   in any category is equal to 5 or more. <div style=padding-top: 35px> in any category is equal to 5 or more.
Question
A soft drink company claims that 3 out of 4 people prefer the taste of their cola (Brand A)over their competitor (Brand B).You conduct a taste test and find that 63 people indicated they preferred Brand A.The remaining 38 people said they preferred Brand B.For a one-way chi-square test,what is <strong>A soft drink company claims that 3 out of 4 people prefer the taste of their cola (Brand A)over their competitor (Brand B).You conduct a taste test and find that 63 people indicated they preferred Brand A.The remaining 38 people said they preferred Brand B.For a one-way chi-square test,what is   ?</strong> A)2.25 B)6.76 C)9.01 D)11.34 <div style=padding-top: 35px> ?

A)2.25
B)6.76
C)9.01
D)11.34
Question
Which of the following statements about nonparametric procedures is false?

A)Nonparametric procedures do not assume that samples come from population distributions.
B)Nonparametric procedures do not assume a normal distribution.
C)Nonparametric procedures do not assume homogeneous variance.
D)The data used with nonparametric procedures may be nominal or ordinal.
Question
The null hypothesis in the <strong>The null hypothesis in the   test for goodness of fit is</strong> A)the data fit the expected frequencies. B)the data do not fit the expected frequencies. C)the variables are independent. D)the variables are dependent. <div style=padding-top: 35px> test for goodness of fit is

A)the data fit the expected frequencies.
B)the data do not fit the expected frequencies.
C)the variables are independent.
D)the variables are dependent.
Question
Assume that you have conducted a one-way <strong>Assume that you have conducted a one-way   in which the   is that the frequencies in the categories are equal.If the   was not significant,the appropriate conclusion is</strong> A)other models of   need to be tested. B)we expect that the population of interest is distributed among the categories to the same degree as the sample. C)there is insufficient evidence one way or the other regarding how the population of interest is distributed among the categories. D)the population of interest is distributed equally among the categories. <div style=padding-top: 35px> in which the <strong>Assume that you have conducted a one-way   in which the   is that the frequencies in the categories are equal.If the   was not significant,the appropriate conclusion is</strong> A)other models of   need to be tested. B)we expect that the population of interest is distributed among the categories to the same degree as the sample. C)there is insufficient evidence one way or the other regarding how the population of interest is distributed among the categories. D)the population of interest is distributed equally among the categories. <div style=padding-top: 35px> is that the frequencies in the categories are equal.If the <strong>Assume that you have conducted a one-way   in which the   is that the frequencies in the categories are equal.If the   was not significant,the appropriate conclusion is</strong> A)other models of   need to be tested. B)we expect that the population of interest is distributed among the categories to the same degree as the sample. C)there is insufficient evidence one way or the other regarding how the population of interest is distributed among the categories. D)the population of interest is distributed equally among the categories. <div style=padding-top: 35px> was not significant,the appropriate conclusion is

A)other models of <strong>Assume that you have conducted a one-way   in which the   is that the frequencies in the categories are equal.If the   was not significant,the appropriate conclusion is</strong> A)other models of   need to be tested. B)we expect that the population of interest is distributed among the categories to the same degree as the sample. C)there is insufficient evidence one way or the other regarding how the population of interest is distributed among the categories. D)the population of interest is distributed equally among the categories. <div style=padding-top: 35px> need to be tested.
B)we expect that the population of interest is distributed among the categories to the same degree as the sample.
C)there is insufficient evidence one way or the other regarding how the population of interest is distributed among the categories.
D)the population of interest is distributed equally among the categories.
Question
The larger the <strong>The larger the   ,</strong> A)the less likely our data represent   . B)the larger the differences between the expected frequencies. C)the less likely our data represent   . D)the more likely our data represent   . <div style=padding-top: 35px> ,

A)the less likely our data represent <strong>The larger the   ,</strong> A)the less likely our data represent   . B)the larger the differences between the expected frequencies. C)the less likely our data represent   . D)the more likely our data represent   . <div style=padding-top: 35px> .
B)the larger the differences between the expected frequencies.
C)the less likely our data represent <strong>The larger the   ,</strong> A)the less likely our data represent   . B)the larger the differences between the expected frequencies. C)the less likely our data represent   . D)the more likely our data represent   . <div style=padding-top: 35px> .
D)the more likely our data represent <strong>The larger the   ,</strong> A)the less likely our data represent   . B)the larger the differences between the expected frequencies. C)the less likely our data represent   . D)the more likely our data represent   . <div style=padding-top: 35px> .
Question
When <strong>When   is true,   should be</strong> A)0.0. B)1.0. C)the value of the overall N of the experiment. D)the value of the overall N of the experiment divided by the number of categories in the experiment. <div style=padding-top: 35px> is true, <strong>When   is true,   should be</strong> A)0.0. B)1.0. C)the value of the overall N of the experiment. D)the value of the overall N of the experiment divided by the number of categories in the experiment. <div style=padding-top: 35px> should be

A)0.0.
B)1.0.
C)the value of the overall N of the experiment.
D)the value of the overall N of the experiment divided by the number of categories in the experiment.
Question
The <strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . <div style=padding-top: 35px> goodness of fit test is so named because it tests

A)how well the sample data match the distribution of frequencies in the population described by <strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . <div style=padding-top: 35px> .
B)how "good" the <strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . <div style=padding-top: 35px> "fits" the
<strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . <div style=padding-top: 35px> .
C)how well the sample data match the distribution of frequencies in the population described by <strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . <div style=padding-top: 35px> .
D)how "good" the "fit" is between the model of the distribution of frequencies and <strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . <div style=padding-top: 35px> .
Question
In a one-way chi-square test,the null hypothesis states that if the observed frequencies do not equal the expected frequencies,it is

A)because the data do not meet the assumptions of the test.
B)because the data represent a population distribution other than the expected one.
C)because of design insufficiencies.
D)because of sampling error.
Question
Nonparametric procedures are usually not our first choice among statistical procedures because

A)the probability of making a Type I error is too high.
B)the probability of making a Type II error is too high.
C)nonparametric procedures are not inferential statistics.
D)they are less powerful than parametric procedures.
Question
When are nonparametric procedures used instead of parametric procedures?

A)When a more powerful test is needed
B)When our data do not meet the assumptions of parametric procedures
C)When our sample is relatively small
D)When measurement is interval or ratio
Question
Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the <strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 <div style=padding-top: 35px> values be for this study?

A)YES, <strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 <div style=padding-top: 35px> = 45;NO,
<strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 <div style=padding-top: 35px> = 55
B)YES, <strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 <div style=padding-top: 35px> = 55;NO,
<strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 <div style=padding-top: 35px> = 45
C)YES, <strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 <div style=padding-top: 35px> = 55;NO,
<strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 <div style=padding-top: 35px> = 55
D)YES, <strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 <div style=padding-top: 35px> = 45;NO,
<strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 <div style=padding-top: 35px> = 45
Question
The sum of the observed frequencies from all categories must equal

A)the expected frequencies for each category.
B)the frequencies expected in the population.
C) <strong>The sum of the observed frequencies from all categories must equal</strong> A)the expected frequencies for each category. B)the frequencies expected in the population. C)   . D)N. <div style=padding-top: 35px> .
D)N.
Question
In a chi-square procedure we test whether,"the frequencies in each category in the sample data

A)change in a consistent fashion."
B)have equal variances."
C)represent specific frequencies in the population."
D)represent the category means in the population."
Question
A significant one-way <strong>A significant one-way   indicates the</strong> A)sample data are likely to represent two variables that are independent in the population. B)sample data are unlikely to represent two variables that are independent in the population. C)data fit the expected frequencies generated by a model of the population frequencies. D)data do not represent equal frequencies in all categories in the population. <div style=padding-top: 35px> indicates the

A)sample data are likely to represent two variables that are independent in the population.
B)sample data are unlikely to represent two variables that are independent in the population.
C)data fit the expected frequencies generated by a model of the population frequencies.
D)data do not represent equal frequencies in all categories in the population.
Question
The board of trustees of a small college demanded a more diverse student body.Most of the college's minority students came from a large metropolitan area.The admissions staff asked graduates outside this area and outside the state to help with recruiting.In addition,some money was spent on media advertising.To assess the effect of this campaign,the current year's requests for applications were classified as Large Metropolitan Area (565),Rest of State (410),and Out of State (216).An analysis of addresses over previous years showed Large Metropolitan Area,51%;Rest of State,40%;Out of State,9%.What statistic should be used to analyze these data?

A)The <strong>The board of trustees of a small college demanded a more diverse student body.Most of the college's minority students came from a large metropolitan area.The admissions staff asked graduates outside this area and outside the state to help with recruiting.In addition,some money was spent on media advertising.To assess the effect of this campaign,the current year's requests for applications were classified as Large Metropolitan Area (565),Rest of State (410),and Out of State (216).An analysis of addresses over previous years showed Large Metropolitan Area,51%;Rest of State,40%;Out of State,9%.What statistic should be used to analyze these data?</strong> A)The   for independence B)The   for goodness of fit C)The Kruskal-Wallis H D)The Mann-Whitney U <div style=padding-top: 35px> for independence
B)The <strong>The board of trustees of a small college demanded a more diverse student body.Most of the college's minority students came from a large metropolitan area.The admissions staff asked graduates outside this area and outside the state to help with recruiting.In addition,some money was spent on media advertising.To assess the effect of this campaign,the current year's requests for applications were classified as Large Metropolitan Area (565),Rest of State (410),and Out of State (216).An analysis of addresses over previous years showed Large Metropolitan Area,51%;Rest of State,40%;Out of State,9%.What statistic should be used to analyze these data?</strong> A)The   for independence B)The   for goodness of fit C)The Kruskal-Wallis H D)The Mann-Whitney U <div style=padding-top: 35px> for goodness of fit
C)The Kruskal-Wallis H
D)The Mann-Whitney U
Question
The <strong>The   sampling distribution contains</strong> A)all possible values of   when the null hypothesis is true. B)all possible values of   when the null hypothesis is false. C)all possible observed frequencies for a given number of categories and a given N. D)all possible expected frequencies for a given number of categories and a given N. <div style=padding-top: 35px> sampling distribution contains

A)all possible values of <strong>The   sampling distribution contains</strong> A)all possible values of   when the null hypothesis is true. B)all possible values of   when the null hypothesis is false. C)all possible observed frequencies for a given number of categories and a given N. D)all possible expected frequencies for a given number of categories and a given N. <div style=padding-top: 35px> when the null hypothesis is true.
B)all possible values of <strong>The   sampling distribution contains</strong> A)all possible values of   when the null hypothesis is true. B)all possible values of   when the null hypothesis is false. C)all possible observed frequencies for a given number of categories and a given N. D)all possible expected frequencies for a given number of categories and a given N. <div style=padding-top: 35px> when the null hypothesis is false.
C)all possible observed frequencies for a given number of categories and a given N.
D)all possible expected frequencies for a given number of categories and a given N.
Question
What is the consequence of violating one of the necessary assumptions of parametric inferential statistics?

A)The  <strong>What is the consequence of violating one of the necessary assumptions of parametric inferential statistics?</strong> A)The   is never rejected. B)The   is never retained. C)The actual probability of making a Type I error is larger than  \alpha . D)The actual probability of making a Type I error is smaller than  \alpha . <div style=padding-top: 35px>  is never rejected.
B)The  <strong>What is the consequence of violating one of the necessary assumptions of parametric inferential statistics?</strong> A)The   is never rejected. B)The   is never retained. C)The actual probability of making a Type I error is larger than  \alpha . D)The actual probability of making a Type I error is smaller than  \alpha . <div style=padding-top: 35px>  is never retained.
C)The actual probability of making a Type I error is larger than α\alpha .
D)The actual probability of making a Type I error is smaller than α\alpha .
Question
Which <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means <div style=padding-top: 35px> tests whether our sample data are likely to represent the distribution of frequencies in the population when <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means <div style=padding-top: 35px> is true?

A) <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means <div style=padding-top: 35px> for independence
B) <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means <div style=padding-top: 35px> for goodness-of-fit
C) <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means <div style=padding-top: 35px> for homogeneity of variance
D) <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means <div style=padding-top: 35px> for differences between independent means
Question
For the following set of data,what are the associated ranks? <strong>For the following set of data,what are the associated ranks?  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>For the following set of data,what are the associated ranks?  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>For the following set of data,what are the associated ranks?  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>For the following set of data,what are the associated ranks?  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>For the following set of data,what are the associated ranks?  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
A recent news report indicated that out of 75 people polled,35 men and 10 women had given the president a high approval rating,while 20 men and 10 women had given the president a low approval rating.Using a two-way <strong>A recent news report indicated that out of 75 people polled,35 men and 10 women had given the president a high approval rating,while 20 men and 10 women had given the president a low approval rating.Using a two-way   test for independence,what is   ?</strong> A)3.00 B)3.33 C)3.58 D)3.72 <div style=padding-top: 35px> test for independence,what is <strong>A recent news report indicated that out of 75 people polled,35 men and 10 women had given the president a high approval rating,while 20 men and 10 women had given the president a low approval rating.Using a two-way   test for independence,what is   ?</strong> A)3.00 B)3.33 C)3.58 D)3.72 <div style=padding-top: 35px> ?

A)3.00
B)3.33
C)3.58
D)3.72
Question
The null hypothesis in the <strong>The null hypothesis in the   test for independence is</strong> A)the data fit the expected frequencies. B)the data do not fit the expected frequencies. C)the variables are independent. D)the variables are dependent. <div style=padding-top: 35px> test for independence is

A)the data fit the expected frequencies.
B)the data do not fit the expected frequencies.
C)the variables are independent.
D)the variables are dependent.
Question
A significant two-way <strong>A significant two-way   indicates the</strong> A)sample data are likely to represent two variables that are independent in the population. B)sample data are unlikely to represent two variables that are independent in the population. C)data fit the expected frequencies generated by a model of the population frequencies. D)sample data for the two variables show them to be independent. <div style=padding-top: 35px> indicates the

A)sample data are likely to represent two variables that are independent in the population.
B)sample data are unlikely to represent two variables that are independent in the population.
C)data fit the expected frequencies generated by a model of the population frequencies.
D)sample data for the two variables show them to be independent.
Question
The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20. <strong>The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
In <strong>In   procedures,</strong> A)we do not perform post hoc comparisons or compute   . B)we perform post hoc comparisons and compute   . C)we never have an interaction. D)all means,not just significant ones,are reported. <div style=padding-top: 35px> procedures,

A)we do not perform post hoc comparisons or compute <strong>In   procedures,</strong> A)we do not perform post hoc comparisons or compute   . B)we perform post hoc comparisons and compute   . C)we never have an interaction. D)all means,not just significant ones,are reported. <div style=padding-top: 35px> .
B)we perform post hoc comparisons and compute <strong>In   procedures,</strong> A)we do not perform post hoc comparisons or compute   . B)we perform post hoc comparisons and compute   . C)we never have an interaction. D)all means,not just significant ones,are reported. <div style=padding-top: 35px> .
C)we never have an interaction.
D)all means,not just significant ones,are reported.
Question
Richard did a study of "Autobiographical Memory of School" for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell. <strong>Richard did a study of Autobiographical Memory of School for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>Richard did a study of Autobiographical Memory of School for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Richard did a study of Autobiographical Memory of School for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Richard did a study of Autobiographical Memory of School for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Richard did a study of Autobiographical Memory of School for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
The sum of the observed frequencies for all the rows of a <strong>The sum of the observed frequencies for all the rows of a   test for independence must equal</strong> A)the sum of the expected frequencies for all the rows. B)the total N for the experiment. C)the sum of the observed frequencies for all the columns. D)all of the above. <div style=padding-top: 35px> test for independence must equal

A)the sum of the expected frequencies for all the rows.
B)the total N for the experiment.
C)the sum of the observed frequencies for all the columns.
D)all of the above.
Question
The two-way <strong>The two-way   is a test of</strong> A)goodness of fit of observed frequencies to population frequencies. B)difference between mean ranks in two categories. C)whether two variables are independent. D)difference between mean ranks in more than two categories. <div style=padding-top: 35px> is a test of

A)goodness of fit of observed frequencies to population frequencies.
B)difference between mean ranks in two categories.
C)whether two variables are independent.
D)difference between mean ranks in more than two categories.
Question
The alternative hypothesis for the two-way <strong>The alternative hypothesis for the two-way   states</strong> A)the variables are independent. B)the variables are not correlated. C)the variables are correlated. D)using the categories from one variable does not help predict frequencies for the other variable. <div style=padding-top: 35px> states

A)the variables are independent.
B)the variables are not correlated.
C)the variables are correlated.
D)using the categories from one variable does not help predict frequencies for the other variable.
Question
It is legitimate to compute <strong>It is legitimate to compute   only when there is a significant</strong> A)2 *3   for independence. B)2 * 2   for independence. C)2 * 2   for goodness of fit. D)   for goodness of fit. <div style=padding-top: 35px> only when there is a significant

A)2 *3 <strong>It is legitimate to compute   only when there is a significant</strong> A)2 *3   for independence. B)2 * 2   for independence. C)2 * 2   for goodness of fit. D)   for goodness of fit. <div style=padding-top: 35px> for independence.
B)2 * 2 <strong>It is legitimate to compute   only when there is a significant</strong> A)2 *3   for independence. B)2 * 2   for independence. C)2 * 2   for goodness of fit. D)   for goodness of fit. <div style=padding-top: 35px> for independence.
C)2 * 2 <strong>It is legitimate to compute   only when there is a significant</strong> A)2 *3   for independence. B)2 * 2   for independence. C)2 * 2   for goodness of fit. D)   for goodness of fit. <div style=padding-top: 35px> for goodness of fit.
D) <strong>It is legitimate to compute   only when there is a significant</strong> A)2 *3   for independence. B)2 * 2   for independence. C)2 * 2   for goodness of fit. D)   for goodness of fit. <div style=padding-top: 35px> for goodness of fit.
Question
The square of the contingency coefficient, <strong>The square of the contingency coefficient,   ,is interpreted the same way as</strong> A)   . B)   . C)   . D)all of these. <div style=padding-top: 35px> ,is interpreted the same way as

A) <strong>The square of the contingency coefficient,   ,is interpreted the same way as</strong> A)   . B)   . C)   . D)all of these. <div style=padding-top: 35px> .
B) <strong>The square of the contingency coefficient,   ,is interpreted the same way as</strong> A)   . B)   . C)   . D)all of these. <div style=padding-top: 35px> .
C) <strong>The square of the contingency coefficient,   ,is interpreted the same way as</strong> A)   . B)   . C)   . D)all of these. <div style=padding-top: 35px> .
D)all of these.
Question
The contingency coefficient,C,is computed when we have a

A)significant 2 * 2 <strong>The contingency coefficient,C,is computed when we have a</strong> A)significant 2 * 2   for independence. B)significant   for goodness of fit. C)significant   for independence that is not 2 * 2. D)nonsignificant   for independence that is not 2 * 2. <div style=padding-top: 35px> for independence.
B)significant <strong>The contingency coefficient,C,is computed when we have a</strong> A)significant 2 * 2   for independence. B)significant   for goodness of fit. C)significant   for independence that is not 2 * 2. D)nonsignificant   for independence that is not 2 * 2. <div style=padding-top: 35px> for goodness of fit.
C)significant <strong>The contingency coefficient,C,is computed when we have a</strong> A)significant 2 * 2   for independence. B)significant   for goodness of fit. C)significant   for independence that is not 2 * 2. D)nonsignificant   for independence that is not 2 * 2. <div style=padding-top: 35px> for independence that is not 2 * 2.
D)nonsignificant <strong>The contingency coefficient,C,is computed when we have a</strong> A)significant 2 * 2   for independence. B)significant   for goodness of fit. C)significant   for independence that is not 2 * 2. D)nonsignificant   for independence that is not 2 * 2. <div style=padding-top: 35px> for independence that is not 2 * 2.
Question
A nonparametric procedure that corresponds to the independent samples t-test is the

A)Mann-Whitney U.
B)Wilcoxon T test.
C)Kruskal-Wallis H.
D)Friedman <strong>A nonparametric procedure that corresponds to the independent samples t-test is the</strong> A)Mann-Whitney U. B)Wilcoxon T test. C)Kruskal-Wallis H. D)Friedman   . <div style=padding-top: 35px> .
Question
What parametric test is analogous to the two-way chi-square?

A)Two-sample t-test for independent samples
B)Two-sample t-test for related samples
C)Two-way ANOVA
D)There is no analogous parametric test
Question
Which of the following is actually a test of whether there is an interaction between two variables?

A) <strong>Which of the following is actually a test of whether there is an interaction between two variables?</strong> A)   for goodness of fit B)   for independence C)   for homogeneity of variance D)   for differences between independent means <div style=padding-top: 35px> for goodness of fit
B) <strong>Which of the following is actually a test of whether there is an interaction between two variables?</strong> A)   for goodness of fit B)   for independence C)   for homogeneity of variance D)   for differences between independent means <div style=padding-top: 35px> for independence
C) <strong>Which of the following is actually a test of whether there is an interaction between two variables?</strong> A)   for goodness of fit B)   for independence C)   for homogeneity of variance D)   for differences between independent means <div style=padding-top: 35px> for homogeneity of variance
D) <strong>Which of the following is actually a test of whether there is an interaction between two variables?</strong> A)   for goodness of fit B)   for independence C)   for homogeneity of variance D)   for differences between independent means <div style=padding-top: 35px> for differences between independent means
Question
<strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . <div style=padding-top: 35px> is analogous to and can be interpreted in the same way as

A) <strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . <div style=padding-top: 35px> .
B) <strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . <div style=padding-top: 35px> .
C) <strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . <div style=padding-top: 35px> .
D) <strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . <div style=padding-top: 35px> and <strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . <div style=padding-top: 35px> .
Question
According to <strong>According to   ,if the observed frequencies do not equal the expected frequencies in each cell of a   for independence,it is because</strong> A)the variables are not independent. B)of sampling error. C)the right variables were not selected for the study. D)the variables are independent. <div style=padding-top: 35px> ,if the observed frequencies do not equal the expected frequencies in each cell of a <strong>According to   ,if the observed frequencies do not equal the expected frequencies in each cell of a   for independence,it is because</strong> A)the variables are not independent. B)of sampling error. C)the right variables were not selected for the study. D)the variables are independent. <div style=padding-top: 35px> for independence,it is because

A)the variables are not independent.
B)of sampling error.
C)the right variables were not selected for the study.
D)the variables are independent.
Question
Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your <strong>Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your   turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?</strong> A)   = 9.92;p < 0.05 B)   = 9.92;p < 0.05 C)   = 9.92;p > 0.05 D)   = 9.92;p < 0.05 <div style=padding-top: 35px> turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?

A) <strong>Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your   turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?</strong> A)   = 9.92;p < 0.05 B)   = 9.92;p < 0.05 C)   = 9.92;p > 0.05 D)   = 9.92;p < 0.05 <div style=padding-top: 35px> = 9.92;p < 0.05
B) <strong>Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your   turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?</strong> A)   = 9.92;p < 0.05 B)   = 9.92;p < 0.05 C)   = 9.92;p > 0.05 D)   = 9.92;p < 0.05 <div style=padding-top: 35px> = 9.92;p < 0.05
C) <strong>Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your   turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?</strong> A)   = 9.92;p < 0.05 B)   = 9.92;p < 0.05 C)   = 9.92;p > 0.05 D)   = 9.92;p < 0.05 <div style=padding-top: 35px> = 9.92;p > 0.05
D) <strong>Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your   turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?</strong> A)   = 9.92;p < 0.05 B)   = 9.92;p < 0.05 C)   = 9.92;p > 0.05 D)   = 9.92;p < 0.05 <div style=padding-top: 35px> = 9.92;p < 0.05
Question
The phi coefficient, ϕ\phi ,is used as a measure of strength of association for a

A)Mann-Whitney U.
B)Kruskal-Wallis H.
C)one-way  <strong>The phi coefficient, \phi ,is used as a measure of strength of association for a</strong> A)Mann-Whitney U. B)Kruskal-Wallis H. C)one-way   . D)2 * 2   . <div style=padding-top: 35px>  .
D)2 * 2  <strong>The phi coefficient, \phi ,is used as a measure of strength of association for a</strong> A)Mann-Whitney U. B)Kruskal-Wallis H. C)one-way   . D)2 * 2   . <div style=padding-top: 35px>  .
Question
Patricia has collected data on 30 individuals.She measured the pulse rate of 15 individuals after they had watched a violent film clip.She measured the pulse rate of the other 15 people after they had watched a non-violent film clip.Because she knows her study does not meet the assumptions for a two-tailed t-test,what nonparametric test should she run?

A)Wilcoxon T
B)A two-way <strong>Patricia has collected data on 30 individuals.She measured the pulse rate of 15 individuals after they had watched a violent film clip.She measured the pulse rate of the other 15 people after they had watched a non-violent film clip.Because she knows her study does not meet the assumptions for a two-tailed t-test,what nonparametric test should she run?</strong> A)Wilcoxon T B)A two-way   C)A Mann-Whitney U D)a Friedman   <div style=padding-top: 35px>
C)A Mann-Whitney U
D)a Friedman <strong>Patricia has collected data on 30 individuals.She measured the pulse rate of 15 individuals after they had watched a violent film clip.She measured the pulse rate of the other 15 people after they had watched a non-violent film clip.Because she knows her study does not meet the assumptions for a two-tailed t-test,what nonparametric test should she run?</strong> A)Wilcoxon T B)A two-way   C)A Mann-Whitney U D)a Friedman   <div style=padding-top: 35px>
Question
If you wanted to run determine if there is a relationship between participants' commute time to work and their level of hostility and you need to use a nonparametric test,what test should you run?

A)Spearman <strong>If you wanted to run determine if there is a relationship between participants' commute time to work and their level of hostility and you need to use a nonparametric test,what test should you run?</strong> A)Spearman   B)Wilcoxon T C)a Friedman   D)Kruskal-Wallis H <div style=padding-top: 35px>
B)Wilcoxon T
C)a Friedman <strong>If you wanted to run determine if there is a relationship between participants' commute time to work and their level of hostility and you need to use a nonparametric test,what test should you run?</strong> A)Spearman   B)Wilcoxon T C)a Friedman   D)Kruskal-Wallis H <div style=padding-top: 35px>
D)Kruskal-Wallis H
Question
The nonparametric procedure that corresponds to the related samples t-test is the

A)Mann-Whitney U.
B)Wilcoxon T test.
C)Kruskal-Wallis H.
D)Friedman <strong>The nonparametric procedure that corresponds to the related samples t-test is the</strong> A)Mann-Whitney U. B)Wilcoxon T test. C)Kruskal-Wallis H. D)Friedman   . <div style=padding-top: 35px> .
Question
James has conducted a study involving a total of 60 participants.These individuals were randomly assigned to one of three different treatment conditions--No Sound,White Noise,or Conversation.Each was then tested on a reading recall task.Because James knows his study does not meet one of the assumptions for a parametric test,what nonparametric test should he run?

A)Mann-Whitney U
B)Spearman <strong>James has conducted a study involving a total of 60 participants.These individuals were randomly assigned to one of three different treatment conditions--No Sound,White Noise,or Conversation.Each was then tested on a reading recall task.Because James knows his study does not meet one of the assumptions for a parametric test,what nonparametric test should he run?</strong> A)Mann-Whitney U B)Spearman   C)a Friedman   D)Kruskal-Wallis H <div style=padding-top: 35px>
C)a Friedman <strong>James has conducted a study involving a total of 60 participants.These individuals were randomly assigned to one of three different treatment conditions--No Sound,White Noise,or Conversation.Each was then tested on a reading recall task.Because James knows his study does not meet one of the assumptions for a parametric test,what nonparametric test should he run?</strong> A)Mann-Whitney U B)Spearman   C)a Friedman   D)Kruskal-Wallis H <div style=padding-top: 35px>
D)Kruskal-Wallis H
Question
You have treadmill endurance test scores for 14 college students taken just before final exam period and a second set of scores for the same students obtained on the afternoon of the last day of finals.You are pretty sure that the populations these scores are sampled from are highly skewed,and so you plan to test for differences in physical endurance using a nonparametric procedure.Which one should you use?

A)A Wilcoxon T
B)Spearman <strong>You have treadmill endurance test scores for 14 college students taken just before final exam period and a second set of scores for the same students obtained on the afternoon of the last day of finals.You are pretty sure that the populations these scores are sampled from are highly skewed,and so you plan to test for differences in physical endurance using a nonparametric procedure.Which one should you use?</strong> A)A Wilcoxon T B)Spearman   C)A Mann-Whitney U D)A Friedman   <div style=padding-top: 35px>
C)A Mann-Whitney U
D)A Friedman <strong>You have treadmill endurance test scores for 14 college students taken just before final exam period and a second set of scores for the same students obtained on the afternoon of the last day of finals.You are pretty sure that the populations these scores are sampled from are highly skewed,and so you plan to test for differences in physical endurance using a nonparametric procedure.Which one should you use?</strong> A)A Wilcoxon T B)Spearman   C)A Mann-Whitney U D)A Friedman   <div style=padding-top: 35px>
Question
The nonparametric procedure that corresponds to the within-subjects ANOVA is the

A)Mann-Whitney U.
B)Wilcoxon T.
C)Kruskal-Wallis H.
D)Friedman <strong>The nonparametric procedure that corresponds to the within-subjects ANOVA is the</strong> A)Mann-Whitney U. B)Wilcoxon T. C)Kruskal-Wallis H. D)Friedman   . <div style=padding-top: 35px> .
Question
The nonparametric procedure that corresponds to the between-subjects ANOVA is the

A)Mann-Whitney U.
B)Wilcoxon T.
C)Kruskal-Wallis H.
D)Friedman <strong>The nonparametric procedure that corresponds to the between-subjects ANOVA is the</strong> A)Mann-Whitney U. B)Wilcoxon T. C)Kruskal-Wallis H. D)Friedman   . <div style=padding-top: 35px> .
Question
In Tanisha's study,each person's respiration rate was tested for baseline (no exercise),after 5 minutes of strenuous exercise,and 5 minutes after strenuous exercise had stopped.Because her study does not meet one of the assumptions for a parametric test,what nonparametric test should she run?

A)Mann-Whitney U
B)Wilcoxon T
C)a Friedman <strong>In Tanisha's study,each person's respiration rate was tested for baseline (no exercise),after 5 minutes of strenuous exercise,and 5 minutes after strenuous exercise had stopped.Because her study does not meet one of the assumptions for a parametric test,what nonparametric test should she run?</strong> A)Mann-Whitney U B)Wilcoxon T C)a Friedman   D)Kruskal-Wallis H <div style=padding-top: 35px>
D)Kruskal-Wallis H
Question
When a Mann-Whitney U test is significant,we accept

A)our samples are independent.
B)our data represent the predicted difference between our conditions in the population.
C)our samples are not independent.
D)our data do not represent the predicted difference between our conditions in the population.
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Deck 15: Chi Square and Other Nonparametric Procedures
1
In the context of <strong>In the context of   ,expected frequency is the frequency we</strong> A)expect in a category if the sample data represent the distribution of frequencies in the population described by   . B)observe in a category of sample data. C)expect in a category if the sample data represent the distribution of frequencies in the population described by   . D)expect in a category of sample data if the experiment is repeated. ,expected frequency is the frequency we

A)expect in a category if the sample data represent the distribution of frequencies in the population described by <strong>In the context of   ,expected frequency is the frequency we</strong> A)expect in a category if the sample data represent the distribution of frequencies in the population described by   . B)observe in a category of sample data. C)expect in a category if the sample data represent the distribution of frequencies in the population described by   . D)expect in a category of sample data if the experiment is repeated. .
B)observe in a category of sample data.
C)expect in a category if the sample data represent the distribution of frequencies in the population described by <strong>In the context of   ,expected frequency is the frequency we</strong> A)expect in a category if the sample data represent the distribution of frequencies in the population described by   . B)observe in a category of sample data. C)expect in a category if the sample data represent the distribution of frequencies in the population described by   . D)expect in a category of sample data if the experiment is repeated. .
D)expect in a category of sample data if the experiment is repeated.
expect in a category if the sample data represent the distribution of frequencies in the population described by expect in a category if the sample data represent the distribution of frequencies in the population described by   . .
2
Which of the following violates the assumptions of the one-way <strong>Which of the following violates the assumptions of the one-way   ?</strong> A)The independent variable is a categorical or nominal variable. B)Subjects may be measured in more than one category. C)The computations are based on the responses of all subjects in the study. D)The   in any category is equal to 5 or more. ?

A)The independent variable is a categorical or nominal variable.
B)Subjects may be measured in more than one category.
C)The computations are based on the responses of all subjects in the study.
D)The <strong>Which of the following violates the assumptions of the one-way   ?</strong> A)The independent variable is a categorical or nominal variable. B)Subjects may be measured in more than one category. C)The computations are based on the responses of all subjects in the study. D)The   in any category is equal to 5 or more. in any category is equal to 5 or more.
Subjects may be measured in more than one category.
3
A soft drink company claims that 3 out of 4 people prefer the taste of their cola (Brand A)over their competitor (Brand B).You conduct a taste test and find that 63 people indicated they preferred Brand A.The remaining 38 people said they preferred Brand B.For a one-way chi-square test,what is <strong>A soft drink company claims that 3 out of 4 people prefer the taste of their cola (Brand A)over their competitor (Brand B).You conduct a taste test and find that 63 people indicated they preferred Brand A.The remaining 38 people said they preferred Brand B.For a one-way chi-square test,what is   ?</strong> A)2.25 B)6.76 C)9.01 D)11.34 ?

A)2.25
B)6.76
C)9.01
D)11.34
9.01
4
Which of the following statements about nonparametric procedures is false?

A)Nonparametric procedures do not assume that samples come from population distributions.
B)Nonparametric procedures do not assume a normal distribution.
C)Nonparametric procedures do not assume homogeneous variance.
D)The data used with nonparametric procedures may be nominal or ordinal.
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5
The null hypothesis in the <strong>The null hypothesis in the   test for goodness of fit is</strong> A)the data fit the expected frequencies. B)the data do not fit the expected frequencies. C)the variables are independent. D)the variables are dependent. test for goodness of fit is

A)the data fit the expected frequencies.
B)the data do not fit the expected frequencies.
C)the variables are independent.
D)the variables are dependent.
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6
Assume that you have conducted a one-way <strong>Assume that you have conducted a one-way   in which the   is that the frequencies in the categories are equal.If the   was not significant,the appropriate conclusion is</strong> A)other models of   need to be tested. B)we expect that the population of interest is distributed among the categories to the same degree as the sample. C)there is insufficient evidence one way or the other regarding how the population of interest is distributed among the categories. D)the population of interest is distributed equally among the categories. in which the <strong>Assume that you have conducted a one-way   in which the   is that the frequencies in the categories are equal.If the   was not significant,the appropriate conclusion is</strong> A)other models of   need to be tested. B)we expect that the population of interest is distributed among the categories to the same degree as the sample. C)there is insufficient evidence one way or the other regarding how the population of interest is distributed among the categories. D)the population of interest is distributed equally among the categories. is that the frequencies in the categories are equal.If the <strong>Assume that you have conducted a one-way   in which the   is that the frequencies in the categories are equal.If the   was not significant,the appropriate conclusion is</strong> A)other models of   need to be tested. B)we expect that the population of interest is distributed among the categories to the same degree as the sample. C)there is insufficient evidence one way or the other regarding how the population of interest is distributed among the categories. D)the population of interest is distributed equally among the categories. was not significant,the appropriate conclusion is

A)other models of <strong>Assume that you have conducted a one-way   in which the   is that the frequencies in the categories are equal.If the   was not significant,the appropriate conclusion is</strong> A)other models of   need to be tested. B)we expect that the population of interest is distributed among the categories to the same degree as the sample. C)there is insufficient evidence one way or the other regarding how the population of interest is distributed among the categories. D)the population of interest is distributed equally among the categories. need to be tested.
B)we expect that the population of interest is distributed among the categories to the same degree as the sample.
C)there is insufficient evidence one way or the other regarding how the population of interest is distributed among the categories.
D)the population of interest is distributed equally among the categories.
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7
The larger the <strong>The larger the   ,</strong> A)the less likely our data represent   . B)the larger the differences between the expected frequencies. C)the less likely our data represent   . D)the more likely our data represent   . ,

A)the less likely our data represent <strong>The larger the   ,</strong> A)the less likely our data represent   . B)the larger the differences between the expected frequencies. C)the less likely our data represent   . D)the more likely our data represent   . .
B)the larger the differences between the expected frequencies.
C)the less likely our data represent <strong>The larger the   ,</strong> A)the less likely our data represent   . B)the larger the differences between the expected frequencies. C)the less likely our data represent   . D)the more likely our data represent   . .
D)the more likely our data represent <strong>The larger the   ,</strong> A)the less likely our data represent   . B)the larger the differences between the expected frequencies. C)the less likely our data represent   . D)the more likely our data represent   . .
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8
When <strong>When   is true,   should be</strong> A)0.0. B)1.0. C)the value of the overall N of the experiment. D)the value of the overall N of the experiment divided by the number of categories in the experiment. is true, <strong>When   is true,   should be</strong> A)0.0. B)1.0. C)the value of the overall N of the experiment. D)the value of the overall N of the experiment divided by the number of categories in the experiment. should be

A)0.0.
B)1.0.
C)the value of the overall N of the experiment.
D)the value of the overall N of the experiment divided by the number of categories in the experiment.
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9
The <strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . goodness of fit test is so named because it tests

A)how well the sample data match the distribution of frequencies in the population described by <strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . .
B)how "good" the <strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . "fits" the
<strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . .
C)how well the sample data match the distribution of frequencies in the population described by <strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . .
D)how "good" the "fit" is between the model of the distribution of frequencies and <strong>The   goodness of fit test is so named because it tests</strong> A)how well the sample data match the distribution of frequencies in the population described by   . B)how good the   fits the   . C)how well the sample data match the distribution of frequencies in the population described by   . D)how good the fit is between the model of the distribution of frequencies and   . .
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10
In a one-way chi-square test,the null hypothesis states that if the observed frequencies do not equal the expected frequencies,it is

A)because the data do not meet the assumptions of the test.
B)because the data represent a population distribution other than the expected one.
C)because of design insufficiencies.
D)because of sampling error.
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11
Nonparametric procedures are usually not our first choice among statistical procedures because

A)the probability of making a Type I error is too high.
B)the probability of making a Type II error is too high.
C)nonparametric procedures are not inferential statistics.
D)they are less powerful than parametric procedures.
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12
When are nonparametric procedures used instead of parametric procedures?

A)When a more powerful test is needed
B)When our data do not meet the assumptions of parametric procedures
C)When our sample is relatively small
D)When measurement is interval or ratio
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13
Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the <strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 values be for this study?

A)YES, <strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 = 45;NO,
<strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 = 55
B)YES, <strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 = 55;NO,
<strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 = 45
C)YES, <strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 = 55;NO,
<strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 = 55
D)YES, <strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 = 45;NO,
<strong>Suppose you ask 100 people whether they like the taste of beer.Beer companies would like to claim that 55% of the population likes the taste of beer.In testing whether this sample represents such a population,what would the   values be for this study?</strong> A)YES,   = 45;NO,   = 55 B)YES,   = 55;NO,   = 45 C)YES,   = 55;NO,   = 55 D)YES,   = 45;NO,   = 45 = 45
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14
The sum of the observed frequencies from all categories must equal

A)the expected frequencies for each category.
B)the frequencies expected in the population.
C) <strong>The sum of the observed frequencies from all categories must equal</strong> A)the expected frequencies for each category. B)the frequencies expected in the population. C)   . D)N. .
D)N.
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15
In a chi-square procedure we test whether,"the frequencies in each category in the sample data

A)change in a consistent fashion."
B)have equal variances."
C)represent specific frequencies in the population."
D)represent the category means in the population."
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16
A significant one-way <strong>A significant one-way   indicates the</strong> A)sample data are likely to represent two variables that are independent in the population. B)sample data are unlikely to represent two variables that are independent in the population. C)data fit the expected frequencies generated by a model of the population frequencies. D)data do not represent equal frequencies in all categories in the population. indicates the

A)sample data are likely to represent two variables that are independent in the population.
B)sample data are unlikely to represent two variables that are independent in the population.
C)data fit the expected frequencies generated by a model of the population frequencies.
D)data do not represent equal frequencies in all categories in the population.
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17
The board of trustees of a small college demanded a more diverse student body.Most of the college's minority students came from a large metropolitan area.The admissions staff asked graduates outside this area and outside the state to help with recruiting.In addition,some money was spent on media advertising.To assess the effect of this campaign,the current year's requests for applications were classified as Large Metropolitan Area (565),Rest of State (410),and Out of State (216).An analysis of addresses over previous years showed Large Metropolitan Area,51%;Rest of State,40%;Out of State,9%.What statistic should be used to analyze these data?

A)The <strong>The board of trustees of a small college demanded a more diverse student body.Most of the college's minority students came from a large metropolitan area.The admissions staff asked graduates outside this area and outside the state to help with recruiting.In addition,some money was spent on media advertising.To assess the effect of this campaign,the current year's requests for applications were classified as Large Metropolitan Area (565),Rest of State (410),and Out of State (216).An analysis of addresses over previous years showed Large Metropolitan Area,51%;Rest of State,40%;Out of State,9%.What statistic should be used to analyze these data?</strong> A)The   for independence B)The   for goodness of fit C)The Kruskal-Wallis H D)The Mann-Whitney U for independence
B)The <strong>The board of trustees of a small college demanded a more diverse student body.Most of the college's minority students came from a large metropolitan area.The admissions staff asked graduates outside this area and outside the state to help with recruiting.In addition,some money was spent on media advertising.To assess the effect of this campaign,the current year's requests for applications were classified as Large Metropolitan Area (565),Rest of State (410),and Out of State (216).An analysis of addresses over previous years showed Large Metropolitan Area,51%;Rest of State,40%;Out of State,9%.What statistic should be used to analyze these data?</strong> A)The   for independence B)The   for goodness of fit C)The Kruskal-Wallis H D)The Mann-Whitney U for goodness of fit
C)The Kruskal-Wallis H
D)The Mann-Whitney U
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18
The <strong>The   sampling distribution contains</strong> A)all possible values of   when the null hypothesis is true. B)all possible values of   when the null hypothesis is false. C)all possible observed frequencies for a given number of categories and a given N. D)all possible expected frequencies for a given number of categories and a given N. sampling distribution contains

A)all possible values of <strong>The   sampling distribution contains</strong> A)all possible values of   when the null hypothesis is true. B)all possible values of   when the null hypothesis is false. C)all possible observed frequencies for a given number of categories and a given N. D)all possible expected frequencies for a given number of categories and a given N. when the null hypothesis is true.
B)all possible values of <strong>The   sampling distribution contains</strong> A)all possible values of   when the null hypothesis is true. B)all possible values of   when the null hypothesis is false. C)all possible observed frequencies for a given number of categories and a given N. D)all possible expected frequencies for a given number of categories and a given N. when the null hypothesis is false.
C)all possible observed frequencies for a given number of categories and a given N.
D)all possible expected frequencies for a given number of categories and a given N.
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19
What is the consequence of violating one of the necessary assumptions of parametric inferential statistics?

A)The  <strong>What is the consequence of violating one of the necessary assumptions of parametric inferential statistics?</strong> A)The   is never rejected. B)The   is never retained. C)The actual probability of making a Type I error is larger than  \alpha . D)The actual probability of making a Type I error is smaller than  \alpha .  is never rejected.
B)The  <strong>What is the consequence of violating one of the necessary assumptions of parametric inferential statistics?</strong> A)The   is never rejected. B)The   is never retained. C)The actual probability of making a Type I error is larger than  \alpha . D)The actual probability of making a Type I error is smaller than  \alpha .  is never retained.
C)The actual probability of making a Type I error is larger than α\alpha .
D)The actual probability of making a Type I error is smaller than α\alpha .
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20
Which <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means tests whether our sample data are likely to represent the distribution of frequencies in the population when <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means is true?

A) <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means for independence
B) <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means for goodness-of-fit
C) <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means for homogeneity of variance
D) <strong>Which   tests whether our sample data are likely to represent the distribution of frequencies in the population when   is true?</strong> A)   for independence B)   for goodness-of-fit C)   for homogeneity of variance D)   for differences between independent means for differences between independent means
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21
For the following set of data,what are the associated ranks? <strong>For the following set of data,what are the associated ranks?  </strong> A)   B)   C)   D)

A) <strong>For the following set of data,what are the associated ranks?  </strong> A)   B)   C)   D)
B) <strong>For the following set of data,what are the associated ranks?  </strong> A)   B)   C)   D)
C) <strong>For the following set of data,what are the associated ranks?  </strong> A)   B)   C)   D)
D) <strong>For the following set of data,what are the associated ranks?  </strong> A)   B)   C)   D)
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22
A recent news report indicated that out of 75 people polled,35 men and 10 women had given the president a high approval rating,while 20 men and 10 women had given the president a low approval rating.Using a two-way <strong>A recent news report indicated that out of 75 people polled,35 men and 10 women had given the president a high approval rating,while 20 men and 10 women had given the president a low approval rating.Using a two-way   test for independence,what is   ?</strong> A)3.00 B)3.33 C)3.58 D)3.72 test for independence,what is <strong>A recent news report indicated that out of 75 people polled,35 men and 10 women had given the president a high approval rating,while 20 men and 10 women had given the president a low approval rating.Using a two-way   test for independence,what is   ?</strong> A)3.00 B)3.33 C)3.58 D)3.72 ?

A)3.00
B)3.33
C)3.58
D)3.72
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23
The null hypothesis in the <strong>The null hypothesis in the   test for independence is</strong> A)the data fit the expected frequencies. B)the data do not fit the expected frequencies. C)the variables are independent. D)the variables are dependent. test for independence is

A)the data fit the expected frequencies.
B)the data do not fit the expected frequencies.
C)the variables are independent.
D)the variables are dependent.
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24
A significant two-way <strong>A significant two-way   indicates the</strong> A)sample data are likely to represent two variables that are independent in the population. B)sample data are unlikely to represent two variables that are independent in the population. C)data fit the expected frequencies generated by a model of the population frequencies. D)sample data for the two variables show them to be independent. indicates the

A)sample data are likely to represent two variables that are independent in the population.
B)sample data are unlikely to represent two variables that are independent in the population.
C)data fit the expected frequencies generated by a model of the population frequencies.
D)sample data for the two variables show them to be independent.
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25
The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20. <strong>The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20.  </strong> A)   B)   C)   D)

A) <strong>The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20.  </strong> A)   B)   C)   D)
B) <strong>The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20.  </strong> A)   B)   C)   D)
C) <strong>The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20.  </strong> A)   B)   C)   D)
D) <strong>The TV Design team showed 40 boys and 40 girls prototype shows for two new television programs for children.After they had seen both shows,each child indicated which show he or she liked better.Their choices are shown here.The expected frequencies were 20,20,20,and 20.  </strong> A)   B)   C)   D)
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26
In <strong>In   procedures,</strong> A)we do not perform post hoc comparisons or compute   . B)we perform post hoc comparisons and compute   . C)we never have an interaction. D)all means,not just significant ones,are reported. procedures,

A)we do not perform post hoc comparisons or compute <strong>In   procedures,</strong> A)we do not perform post hoc comparisons or compute   . B)we perform post hoc comparisons and compute   . C)we never have an interaction. D)all means,not just significant ones,are reported. .
B)we perform post hoc comparisons and compute <strong>In   procedures,</strong> A)we do not perform post hoc comparisons or compute   . B)we perform post hoc comparisons and compute   . C)we never have an interaction. D)all means,not just significant ones,are reported. .
C)we never have an interaction.
D)all means,not just significant ones,are reported.
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27
Richard did a study of "Autobiographical Memory of School" for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell. <strong>Richard did a study of Autobiographical Memory of School for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell.  </strong> A)   B)   C)   D)

A) <strong>Richard did a study of Autobiographical Memory of School for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell.  </strong> A)   B)   C)   D)
B) <strong>Richard did a study of Autobiographical Memory of School for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell.  </strong> A)   B)   C)   D)
C) <strong>Richard did a study of Autobiographical Memory of School for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell.  </strong> A)   B)   C)   D)
D) <strong>Richard did a study of Autobiographical Memory of School for his master's degree thesis.In one part of Richard's study,he had 60 college students write a description of one event from their schooling (any grade,1-12).After obtaining the 60 descriptions,they were classified as shown.The expected frequency was 10 in each cell.  </strong> A)   B)   C)   D)
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28
The sum of the observed frequencies for all the rows of a <strong>The sum of the observed frequencies for all the rows of a   test for independence must equal</strong> A)the sum of the expected frequencies for all the rows. B)the total N for the experiment. C)the sum of the observed frequencies for all the columns. D)all of the above. test for independence must equal

A)the sum of the expected frequencies for all the rows.
B)the total N for the experiment.
C)the sum of the observed frequencies for all the columns.
D)all of the above.
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29
The two-way <strong>The two-way   is a test of</strong> A)goodness of fit of observed frequencies to population frequencies. B)difference between mean ranks in two categories. C)whether two variables are independent. D)difference between mean ranks in more than two categories. is a test of

A)goodness of fit of observed frequencies to population frequencies.
B)difference between mean ranks in two categories.
C)whether two variables are independent.
D)difference between mean ranks in more than two categories.
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30
The alternative hypothesis for the two-way <strong>The alternative hypothesis for the two-way   states</strong> A)the variables are independent. B)the variables are not correlated. C)the variables are correlated. D)using the categories from one variable does not help predict frequencies for the other variable. states

A)the variables are independent.
B)the variables are not correlated.
C)the variables are correlated.
D)using the categories from one variable does not help predict frequencies for the other variable.
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31
It is legitimate to compute <strong>It is legitimate to compute   only when there is a significant</strong> A)2 *3   for independence. B)2 * 2   for independence. C)2 * 2   for goodness of fit. D)   for goodness of fit. only when there is a significant

A)2 *3 <strong>It is legitimate to compute   only when there is a significant</strong> A)2 *3   for independence. B)2 * 2   for independence. C)2 * 2   for goodness of fit. D)   for goodness of fit. for independence.
B)2 * 2 <strong>It is legitimate to compute   only when there is a significant</strong> A)2 *3   for independence. B)2 * 2   for independence. C)2 * 2   for goodness of fit. D)   for goodness of fit. for independence.
C)2 * 2 <strong>It is legitimate to compute   only when there is a significant</strong> A)2 *3   for independence. B)2 * 2   for independence. C)2 * 2   for goodness of fit. D)   for goodness of fit. for goodness of fit.
D) <strong>It is legitimate to compute   only when there is a significant</strong> A)2 *3   for independence. B)2 * 2   for independence. C)2 * 2   for goodness of fit. D)   for goodness of fit. for goodness of fit.
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32
The square of the contingency coefficient, <strong>The square of the contingency coefficient,   ,is interpreted the same way as</strong> A)   . B)   . C)   . D)all of these. ,is interpreted the same way as

A) <strong>The square of the contingency coefficient,   ,is interpreted the same way as</strong> A)   . B)   . C)   . D)all of these. .
B) <strong>The square of the contingency coefficient,   ,is interpreted the same way as</strong> A)   . B)   . C)   . D)all of these. .
C) <strong>The square of the contingency coefficient,   ,is interpreted the same way as</strong> A)   . B)   . C)   . D)all of these. .
D)all of these.
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33
The contingency coefficient,C,is computed when we have a

A)significant 2 * 2 <strong>The contingency coefficient,C,is computed when we have a</strong> A)significant 2 * 2   for independence. B)significant   for goodness of fit. C)significant   for independence that is not 2 * 2. D)nonsignificant   for independence that is not 2 * 2. for independence.
B)significant <strong>The contingency coefficient,C,is computed when we have a</strong> A)significant 2 * 2   for independence. B)significant   for goodness of fit. C)significant   for independence that is not 2 * 2. D)nonsignificant   for independence that is not 2 * 2. for goodness of fit.
C)significant <strong>The contingency coefficient,C,is computed when we have a</strong> A)significant 2 * 2   for independence. B)significant   for goodness of fit. C)significant   for independence that is not 2 * 2. D)nonsignificant   for independence that is not 2 * 2. for independence that is not 2 * 2.
D)nonsignificant <strong>The contingency coefficient,C,is computed when we have a</strong> A)significant 2 * 2   for independence. B)significant   for goodness of fit. C)significant   for independence that is not 2 * 2. D)nonsignificant   for independence that is not 2 * 2. for independence that is not 2 * 2.
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34
A nonparametric procedure that corresponds to the independent samples t-test is the

A)Mann-Whitney U.
B)Wilcoxon T test.
C)Kruskal-Wallis H.
D)Friedman <strong>A nonparametric procedure that corresponds to the independent samples t-test is the</strong> A)Mann-Whitney U. B)Wilcoxon T test. C)Kruskal-Wallis H. D)Friedman   . .
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35
What parametric test is analogous to the two-way chi-square?

A)Two-sample t-test for independent samples
B)Two-sample t-test for related samples
C)Two-way ANOVA
D)There is no analogous parametric test
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36
Which of the following is actually a test of whether there is an interaction between two variables?

A) <strong>Which of the following is actually a test of whether there is an interaction between two variables?</strong> A)   for goodness of fit B)   for independence C)   for homogeneity of variance D)   for differences between independent means for goodness of fit
B) <strong>Which of the following is actually a test of whether there is an interaction between two variables?</strong> A)   for goodness of fit B)   for independence C)   for homogeneity of variance D)   for differences between independent means for independence
C) <strong>Which of the following is actually a test of whether there is an interaction between two variables?</strong> A)   for goodness of fit B)   for independence C)   for homogeneity of variance D)   for differences between independent means for homogeneity of variance
D) <strong>Which of the following is actually a test of whether there is an interaction between two variables?</strong> A)   for goodness of fit B)   for independence C)   for homogeneity of variance D)   for differences between independent means for differences between independent means
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37
<strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . is analogous to and can be interpreted in the same way as

A) <strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . .
B) <strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . .
C) <strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . .
D) <strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . and <strong>  is analogous to and can be interpreted in the same way as</strong> A)   . B)   . C)   . D)   and   . .
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38
According to <strong>According to   ,if the observed frequencies do not equal the expected frequencies in each cell of a   for independence,it is because</strong> A)the variables are not independent. B)of sampling error. C)the right variables were not selected for the study. D)the variables are independent. ,if the observed frequencies do not equal the expected frequencies in each cell of a <strong>According to   ,if the observed frequencies do not equal the expected frequencies in each cell of a   for independence,it is because</strong> A)the variables are not independent. B)of sampling error. C)the right variables were not selected for the study. D)the variables are independent. for independence,it is because

A)the variables are not independent.
B)of sampling error.
C)the right variables were not selected for the study.
D)the variables are independent.
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39
Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your <strong>Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your   turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?</strong> A)   = 9.92;p < 0.05 B)   = 9.92;p < 0.05 C)   = 9.92;p > 0.05 D)   = 9.92;p < 0.05 turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?

A) <strong>Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your   turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?</strong> A)   = 9.92;p < 0.05 B)   = 9.92;p < 0.05 C)   = 9.92;p > 0.05 D)   = 9.92;p < 0.05 = 9.92;p < 0.05
B) <strong>Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your   turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?</strong> A)   = 9.92;p < 0.05 B)   = 9.92;p < 0.05 C)   = 9.92;p > 0.05 D)   = 9.92;p < 0.05 = 9.92;p < 0.05
C) <strong>Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your   turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?</strong> A)   = 9.92;p < 0.05 B)   = 9.92;p < 0.05 C)   = 9.92;p > 0.05 D)   = 9.92;p < 0.05 = 9.92;p > 0.05
D) <strong>Suppose you conduct an experiment that has 24 participants who are asked to respond to one of three categories.Your   turns out to be 9.92,which is statistically significant.Which of the following is the correct way to report it?</strong> A)   = 9.92;p < 0.05 B)   = 9.92;p < 0.05 C)   = 9.92;p > 0.05 D)   = 9.92;p < 0.05 = 9.92;p < 0.05
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40
The phi coefficient, ϕ\phi ,is used as a measure of strength of association for a

A)Mann-Whitney U.
B)Kruskal-Wallis H.
C)one-way  <strong>The phi coefficient, \phi ,is used as a measure of strength of association for a</strong> A)Mann-Whitney U. B)Kruskal-Wallis H. C)one-way   . D)2 * 2   .  .
D)2 * 2  <strong>The phi coefficient, \phi ,is used as a measure of strength of association for a</strong> A)Mann-Whitney U. B)Kruskal-Wallis H. C)one-way   . D)2 * 2   .  .
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41
Patricia has collected data on 30 individuals.She measured the pulse rate of 15 individuals after they had watched a violent film clip.She measured the pulse rate of the other 15 people after they had watched a non-violent film clip.Because she knows her study does not meet the assumptions for a two-tailed t-test,what nonparametric test should she run?

A)Wilcoxon T
B)A two-way <strong>Patricia has collected data on 30 individuals.She measured the pulse rate of 15 individuals after they had watched a violent film clip.She measured the pulse rate of the other 15 people after they had watched a non-violent film clip.Because she knows her study does not meet the assumptions for a two-tailed t-test,what nonparametric test should she run?</strong> A)Wilcoxon T B)A two-way   C)A Mann-Whitney U D)a Friedman
C)A Mann-Whitney U
D)a Friedman <strong>Patricia has collected data on 30 individuals.She measured the pulse rate of 15 individuals after they had watched a violent film clip.She measured the pulse rate of the other 15 people after they had watched a non-violent film clip.Because she knows her study does not meet the assumptions for a two-tailed t-test,what nonparametric test should she run?</strong> A)Wilcoxon T B)A two-way   C)A Mann-Whitney U D)a Friedman
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42
If you wanted to run determine if there is a relationship between participants' commute time to work and their level of hostility and you need to use a nonparametric test,what test should you run?

A)Spearman <strong>If you wanted to run determine if there is a relationship between participants' commute time to work and their level of hostility and you need to use a nonparametric test,what test should you run?</strong> A)Spearman   B)Wilcoxon T C)a Friedman   D)Kruskal-Wallis H
B)Wilcoxon T
C)a Friedman <strong>If you wanted to run determine if there is a relationship between participants' commute time to work and their level of hostility and you need to use a nonparametric test,what test should you run?</strong> A)Spearman   B)Wilcoxon T C)a Friedman   D)Kruskal-Wallis H
D)Kruskal-Wallis H
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43
The nonparametric procedure that corresponds to the related samples t-test is the

A)Mann-Whitney U.
B)Wilcoxon T test.
C)Kruskal-Wallis H.
D)Friedman <strong>The nonparametric procedure that corresponds to the related samples t-test is the</strong> A)Mann-Whitney U. B)Wilcoxon T test. C)Kruskal-Wallis H. D)Friedman   . .
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44
James has conducted a study involving a total of 60 participants.These individuals were randomly assigned to one of three different treatment conditions--No Sound,White Noise,or Conversation.Each was then tested on a reading recall task.Because James knows his study does not meet one of the assumptions for a parametric test,what nonparametric test should he run?

A)Mann-Whitney U
B)Spearman <strong>James has conducted a study involving a total of 60 participants.These individuals were randomly assigned to one of three different treatment conditions--No Sound,White Noise,or Conversation.Each was then tested on a reading recall task.Because James knows his study does not meet one of the assumptions for a parametric test,what nonparametric test should he run?</strong> A)Mann-Whitney U B)Spearman   C)a Friedman   D)Kruskal-Wallis H
C)a Friedman <strong>James has conducted a study involving a total of 60 participants.These individuals were randomly assigned to one of three different treatment conditions--No Sound,White Noise,or Conversation.Each was then tested on a reading recall task.Because James knows his study does not meet one of the assumptions for a parametric test,what nonparametric test should he run?</strong> A)Mann-Whitney U B)Spearman   C)a Friedman   D)Kruskal-Wallis H
D)Kruskal-Wallis H
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45
You have treadmill endurance test scores for 14 college students taken just before final exam period and a second set of scores for the same students obtained on the afternoon of the last day of finals.You are pretty sure that the populations these scores are sampled from are highly skewed,and so you plan to test for differences in physical endurance using a nonparametric procedure.Which one should you use?

A)A Wilcoxon T
B)Spearman <strong>You have treadmill endurance test scores for 14 college students taken just before final exam period and a second set of scores for the same students obtained on the afternoon of the last day of finals.You are pretty sure that the populations these scores are sampled from are highly skewed,and so you plan to test for differences in physical endurance using a nonparametric procedure.Which one should you use?</strong> A)A Wilcoxon T B)Spearman   C)A Mann-Whitney U D)A Friedman
C)A Mann-Whitney U
D)A Friedman <strong>You have treadmill endurance test scores for 14 college students taken just before final exam period and a second set of scores for the same students obtained on the afternoon of the last day of finals.You are pretty sure that the populations these scores are sampled from are highly skewed,and so you plan to test for differences in physical endurance using a nonparametric procedure.Which one should you use?</strong> A)A Wilcoxon T B)Spearman   C)A Mann-Whitney U D)A Friedman
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46
The nonparametric procedure that corresponds to the within-subjects ANOVA is the

A)Mann-Whitney U.
B)Wilcoxon T.
C)Kruskal-Wallis H.
D)Friedman <strong>The nonparametric procedure that corresponds to the within-subjects ANOVA is the</strong> A)Mann-Whitney U. B)Wilcoxon T. C)Kruskal-Wallis H. D)Friedman   . .
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47
The nonparametric procedure that corresponds to the between-subjects ANOVA is the

A)Mann-Whitney U.
B)Wilcoxon T.
C)Kruskal-Wallis H.
D)Friedman <strong>The nonparametric procedure that corresponds to the between-subjects ANOVA is the</strong> A)Mann-Whitney U. B)Wilcoxon T. C)Kruskal-Wallis H. D)Friedman   . .
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48
In Tanisha's study,each person's respiration rate was tested for baseline (no exercise),after 5 minutes of strenuous exercise,and 5 minutes after strenuous exercise had stopped.Because her study does not meet one of the assumptions for a parametric test,what nonparametric test should she run?

A)Mann-Whitney U
B)Wilcoxon T
C)a Friedman <strong>In Tanisha's study,each person's respiration rate was tested for baseline (no exercise),after 5 minutes of strenuous exercise,and 5 minutes after strenuous exercise had stopped.Because her study does not meet one of the assumptions for a parametric test,what nonparametric test should she run?</strong> A)Mann-Whitney U B)Wilcoxon T C)a Friedman   D)Kruskal-Wallis H
D)Kruskal-Wallis H
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49
When a Mann-Whitney U test is significant,we accept

A)our samples are independent.
B)our data represent the predicted difference between our conditions in the population.
C)our samples are not independent.
D)our data do not represent the predicted difference between our conditions in the population.
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