Deck 8: Testing Associations Between Categorical Variables

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Question
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How many injured sports players took part in the study?</strong> A)1305 B)59 C)95 D)600 <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How many injured sports players took part in the study?</strong> A)1305 B)59 C)95 D)600 <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How many injured sports players took part in the study?</strong> A)1305 B)59 C)95 D)600 <div style=padding-top: 35px>
How many injured sports players took part in the study?

A)1305
B)59
C)95
D)600
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Question
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What should we conclude from this study?</strong> A)Sports players are significantly less likely to attend accident and emergency B)Sports players are significantly more likely to attend accident and emergency C)There is no association between playing sport and attending accident and emergency D)None of the above <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What should we conclude from this study?</strong> A)Sports players are significantly less likely to attend accident and emergency B)Sports players are significantly more likely to attend accident and emergency C)There is no association between playing sport and attending accident and emergency D)None of the above <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What should we conclude from this study?</strong> A)Sports players are significantly less likely to attend accident and emergency B)Sports players are significantly more likely to attend accident and emergency C)There is no association between playing sport and attending accident and emergency D)None of the above <div style=padding-top: 35px>
What should we conclude from this study?

A)Sports players are significantly less likely to attend accident and emergency
B)Sports players are significantly more likely to attend accident and emergency
C)There is no association between playing sport and attending accident and emergency
D)None of the above
Question
In the study described in Question 2, the following preferences were observed: flavour A - 12 flavour B - 217 flavour C - 100 flavour D - 171
Which test could you use to test whether this distribution differs significantly from chance?

A)One variable χ2 test
B)Cramer's V
C)Fisher's Exact Test
D)None of the above
Question
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What will the degrees of freedom be for a χ<sup>2</sup> test of a 56 contingency table?</strong> A)11 B)1 C)30 D)20 <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What will the degrees of freedom be for a χ<sup>2</sup> test of a 56 contingency table?</strong> A)11 B)1 C)30 D)20 <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What will the degrees of freedom be for a χ<sup>2</sup> test of a 56 contingency table?</strong> A)11 B)1 C)30 D)20 <div style=padding-top: 35px>
What will the degrees of freedom be for a χ2 test of a 56 contingency table?

A)11
B)1
C)30
D)20
Question
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What number should replace the '?' in contingency table?</strong> A)2000 B)1400 C)754 D)1846 <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What number should replace the '?' in contingency table?</strong> A)2000 B)1400 C)754 D)1846 <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What number should replace the '?' in contingency table?</strong> A)2000 B)1400 C)754 D)1846 <div style=padding-top: 35px>
What number should replace the '?' in contingency table?

A)2000
B)1400
C)754
D)1846
Question
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How should the significance level for the χ<sup>2</sup> test be reported?</strong> A)p=.019 B)p>.05 C)p=.000 D)p<.001 <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How should the significance level for the χ<sup>2</sup> test be reported?</strong> A)p=.019 B)p>.05 C)p=.000 D)p<.001 <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How should the significance level for the χ<sup>2</sup> test be reported?</strong> A)p=.019 B)p>.05 C)p=.000 D)p<.001 <div style=padding-top: 35px>
How should the significance level for the χ2 test be reported?

A)p=.019
B)p>.05
C)p=.000
D)p<.001
Question
The χ2 test may be used for

A)2 × 2 tables
B)2 × 3 tables
C)one variable tests
D)any of the above
Question
500 participants are recruited to a study assessing patient preference for 4 different flavours of cough medicine.If all the medicines are equally palatable, how many participants would you expect to prefer each medicine?

A)100
B)500
C)125
D)0
Question
When working with categorical variables it is fine to collapse categories together if:

A)The resulting category is theoretically meaningful
B)You have only a few people in some categories
C)You have violated the assumptions of the χ2 test if you do not
D)Categories may never be collapsed
Question
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What percentage of sports players have been injured?</strong> A)6.8% B)9.8% C)11.0% D)78.3% <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What percentage of sports players have been injured?</strong> A)6.8% B)9.8% C)11.0% D)78.3% <div style=padding-top: 35px> <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What percentage of sports players have been injured?</strong> A)6.8% B)9.8% C)11.0% D)78.3% <div style=padding-top: 35px>
What percentage of sports players have been injured?

A)6.8%
B)9.8%
C)11.0%
D)78.3%
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Deck 8: Testing Associations Between Categorical Variables
1
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How many injured sports players took part in the study?</strong> A)1305 B)59 C)95 D)600 <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How many injured sports players took part in the study?</strong> A)1305 B)59 C)95 D)600 <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How many injured sports players took part in the study?</strong> A)1305 B)59 C)95 D)600
How many injured sports players took part in the study?

A)1305
B)59
C)95
D)600
59
2
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What should we conclude from this study?</strong> A)Sports players are significantly less likely to attend accident and emergency B)Sports players are significantly more likely to attend accident and emergency C)There is no association between playing sport and attending accident and emergency D)None of the above <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What should we conclude from this study?</strong> A)Sports players are significantly less likely to attend accident and emergency B)Sports players are significantly more likely to attend accident and emergency C)There is no association between playing sport and attending accident and emergency D)None of the above <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What should we conclude from this study?</strong> A)Sports players are significantly less likely to attend accident and emergency B)Sports players are significantly more likely to attend accident and emergency C)There is no association between playing sport and attending accident and emergency D)None of the above
What should we conclude from this study?

A)Sports players are significantly less likely to attend accident and emergency
B)Sports players are significantly more likely to attend accident and emergency
C)There is no association between playing sport and attending accident and emergency
D)None of the above
Sports players are significantly more likely to attend accident and emergency
3
In the study described in Question 2, the following preferences were observed: flavour A - 12 flavour B - 217 flavour C - 100 flavour D - 171
Which test could you use to test whether this distribution differs significantly from chance?

A)One variable χ2 test
B)Cramer's V
C)Fisher's Exact Test
D)None of the above
One variable χ2 test
4
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What will the degrees of freedom be for a χ<sup>2</sup> test of a 56 contingency table?</strong> A)11 B)1 C)30 D)20 <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What will the degrees of freedom be for a χ<sup>2</sup> test of a 56 contingency table?</strong> A)11 B)1 C)30 D)20 <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What will the degrees of freedom be for a χ<sup>2</sup> test of a 56 contingency table?</strong> A)11 B)1 C)30 D)20
What will the degrees of freedom be for a χ2 test of a 56 contingency table?

A)11
B)1
C)30
D)20
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5
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What number should replace the '?' in contingency table?</strong> A)2000 B)1400 C)754 D)1846 <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What number should replace the '?' in contingency table?</strong> A)2000 B)1400 C)754 D)1846 <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What number should replace the '?' in contingency table?</strong> A)2000 B)1400 C)754 D)1846
What number should replace the '?' in contingency table?

A)2000
B)1400
C)754
D)1846
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6
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How should the significance level for the χ<sup>2</sup> test be reported?</strong> A)p=.019 B)p>.05 C)p=.000 D)p<.001 <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How should the significance level for the χ<sup>2</sup> test be reported?</strong> A)p=.019 B)p>.05 C)p=.000 D)p<.001 <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       How should the significance level for the χ<sup>2</sup> test be reported?</strong> A)p=.019 B)p>.05 C)p=.000 D)p<.001
How should the significance level for the χ2 test be reported?

A)p=.019
B)p>.05
C)p=.000
D)p<.001
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7
The χ2 test may be used for

A)2 × 2 tables
B)2 × 3 tables
C)one variable tests
D)any of the above
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Unlock for access to all 10 flashcards in this deck.
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8
500 participants are recruited to a study assessing patient preference for 4 different flavours of cough medicine.If all the medicines are equally palatable, how many participants would you expect to prefer each medicine?

A)100
B)500
C)125
D)0
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Unlock for access to all 10 flashcards in this deck.
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9
When working with categorical variables it is fine to collapse categories together if:

A)The resulting category is theoretically meaningful
B)You have only a few people in some categories
C)You have violated the assumptions of the χ2 test if you do not
D)Categories may never be collapsed
Unlock Deck
Unlock for access to all 10 flashcards in this deck.
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10
Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.
<strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What percentage of sports players have been injured?</strong> A)6.8% B)9.8% C)11.0% D)78.3% <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What percentage of sports players have been injured?</strong> A)6.8% B)9.8% C)11.0% D)78.3% <strong>Questions are based on a fictional dataset addressing the association of being a regular sports player and having attended accident and emergency with an unintentional injury.       What percentage of sports players have been injured?</strong> A)6.8% B)9.8% C)11.0% D)78.3%
What percentage of sports players have been injured?

A)6.8%
B)9.8%
C)11.0%
D)78.3%
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Unlock Deck
Unlock for access to all 10 flashcards in this deck.