Deck 8: Nonparametric Inferential Statistics
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Deck 8: Nonparametric Inferential Statistics
1
For the following questions, match each procedure with one of the descriptions below.
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Friedman Test ____
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Friedman Test ____
E
2
Which statement is INCORRECT?
A)A chi-square GOF test indicates whether or not your data varies from what is unexpected.
B)A chi-square test of independence indicates that the variables are independent of each other or that the variables affect one another.
C)A Mann-Whitney U test indicates whether two independent samples are different in terms of their average ranks.
D)A Wilcoxon test indicates whether two related samples are different in terms of their ranks.
E)A Kruskal-Wallis H test is the nonparametric equivalent of the one-way ANOVA.
A)A chi-square GOF test indicates whether or not your data varies from what is unexpected.
B)A chi-square test of independence indicates that the variables are independent of each other or that the variables affect one another.
C)A Mann-Whitney U test indicates whether two independent samples are different in terms of their average ranks.
D)A Wilcoxon test indicates whether two related samples are different in terms of their ranks.
E)A Kruskal-Wallis H test is the nonparametric equivalent of the one-way ANOVA.
A
3
Nonparametric inferential statistics:
I)are used when the corresponding parametric procedure is inappropriate.
II)are preferred over parametric inferential statistics.
III)have very few assumptions.
A)I
B)I, II only
C)I, & III only
D)I, II, & III
I)are used when the corresponding parametric procedure is inappropriate.
II)are preferred over parametric inferential statistics.
III)have very few assumptions.
A)I
B)I, II only
C)I, & III only
D)I, II, & III
C
4
Most of the nonparametric tests use the following click sequence:
A)File → Nonparametric Tests
B)Edit → Nonparametric Tests
C)Data → Nonparametric Tests
D)Analyze → Nonparametric Tests
E)Graphs → Nonparametric Tests
A)File → Nonparametric Tests
B)Edit → Nonparametric Tests
C)Data → Nonparametric Tests
D)Analyze → Nonparametric Tests
E)Graphs → Nonparametric Tests
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5
For the following questions, match each procedure with one of the descriptions below.
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Chi-Square Test of Independence ____
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Chi-Square Test of Independence ____
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6
Which of the following is FALSE?
A)There are no degrees of freedom for chi-square tests.
B)SPSS can automatically choose which one-sample nonparametric test to use based on the data you have entered.
C)If you double-click on the hypothesis test summary output, the Model Viewer opens, which presents both the hypothesis test summary as well as any graphs or additional information needed for an accurate report and interpretation.
D)A significant chi-square test indicates that the data vary from the expected values.
E)A test that is not significant indicates that the data are consistent with the expected values.
A)There are no degrees of freedom for chi-square tests.
B)SPSS can automatically choose which one-sample nonparametric test to use based on the data you have entered.
C)If you double-click on the hypothesis test summary output, the Model Viewer opens, which presents both the hypothesis test summary as well as any graphs or additional information needed for an accurate report and interpretation.
D)A significant chi-square test indicates that the data vary from the expected values.
E)A test that is not significant indicates that the data are consistent with the expected values.
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7
For the following questions, match each procedure with one of the descriptions below.
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Mann-Whitney U Test ____
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Mann-Whitney U Test ____
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8
Which of the following are TRUE about a chi-square Goodness of Fit Test?
I)The GOF test can compare sample proportions to theoretical values.
II)You could use the GOF test compare blood type breakdown as published by the American Red Cross to the blood collected at a recent blood drive.
III)If you perform a chi-square GOF test, you should also calculate a mean and standard deviation.
IV)There are no assumptions about the shape of the distribution.
A)I & II only
B)I & III only
C)I, II, & III only
D)I, II, & IV only
E)All of the above
I)The GOF test can compare sample proportions to theoretical values.
II)You could use the GOF test compare blood type breakdown as published by the American Red Cross to the blood collected at a recent blood drive.
III)If you perform a chi-square GOF test, you should also calculate a mean and standard deviation.
IV)There are no assumptions about the shape of the distribution.
A)I & II only
B)I & III only
C)I, II, & III only
D)I, II, & IV only
E)All of the above
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9
For the following questions, match each procedure with one of the descriptions below.
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Chi-Square Goodness of Fit ____
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Chi-Square Goodness of Fit ____
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10
For the following questions, match each procedure with one of the descriptions below.
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Wilcoxon Test ____
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Wilcoxon Test ____
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11
For the following questions, match each procedure with one of the descriptions below.
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Kruskal-Wallis H Test ____
a.Evaluates whether the medians of a test variable differ significantly between two independent groups.
b.Evaluates the differences in medians across all levels of factor (i.e., grouping variable).
c.Evaluates whether the proportion of individuals who fall into categories of a variable are equal to hypothesized values
d.Evaluates the differences between paired scores on the rankings of a test variable.
e.Evaluates the differences between repeated paired scores on the rankings of a test variable.
f.Evaluates whether two variables are independent of each other.
Kruskal-Wallis H Test ____
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12
Which piece of information in the following summary is INCORRECT?
"A chi-square test of independence was calculated comparing the frequency of incarceration of African Americans with that of Caucasians.A significant interaction was found ( = 26.03, p < 0.05).African Americans were almost 6 times less likely to be incarcerated (2.21%) than Caucasians (0.38%)."
A)test of independence
B)significant interaction
C)= 26.03
D)p < 0.05
E)6 times less likely
"A chi-square test of independence was calculated comparing the frequency of incarceration of African Americans with that of Caucasians.A significant interaction was found ( = 26.03, p < 0.05).African Americans were almost 6 times less likely to be incarcerated (2.21%) than Caucasians (0.38%)."
A)test of independence
B)significant interaction
C)= 26.03
D)p < 0.05
E)6 times less likely
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13
Which of the following are TRUE?
I)A chi-square test of independence is essentially the nonparametric version of the interaction term in ANOVA.
II)A chi-square test of independence requires more than two variables.
III)Expected cell frequencies should all be less than 1.
IV)No more than 20% of the categories should have less than 5 expected frequencies.
V)Two variables are independent if knowing the outcome of one tells you nothing about the outcome of the other.
VI)Two variables are independent if knowing the outcome of one tells you something about the outcome of the other.
A)I, II, & III only
B)II, III, IV only
C)II, III, & VI only
D)III, IV, & V only
E)I, IV, & V only
I)A chi-square test of independence is essentially the nonparametric version of the interaction term in ANOVA.
II)A chi-square test of independence requires more than two variables.
III)Expected cell frequencies should all be less than 1.
IV)No more than 20% of the categories should have less than 5 expected frequencies.
V)Two variables are independent if knowing the outcome of one tells you nothing about the outcome of the other.
VI)Two variables are independent if knowing the outcome of one tells you something about the outcome of the other.
A)I, II, & III only
B)II, III, IV only
C)II, III, & VI only
D)III, IV, & V only
E)I, IV, & V only
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