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Two Categorical Variables: The Chi-Square Test
Quiz Salkind Chapter 17 © 2006 W.H. Freeman and Company
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1. What type of data are these?
Measurement Categorical Quantitative A & B
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1. What type of data are these?
Measurement Categorical Quantitative A & B
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2. What type of data are these?
Measurement Categorical Qualitative B & C
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2. What type of data are these?
Measurement Categorical Qualitative B & C
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3. There are two types of chi square test described in the chapter: goodness of fit and:
Test of independence Analysis of variance Multiple regression T-test All of the above.
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3. There are two types of chi square test described in the chapter: goodness of fit and:
Test of independence Analysis of variance Multiple regression T-test All of the above.
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4. With a Chis Square test of independence we reject the null hypothesis when:
It exceeds the mean The variance is analyzed When p < .05 We feel like it All of the above.
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4. With a Chis Square test of independence we reject the null hypothesis when:
It exceeds the mean The variance is analyzed When p < .05 We feel like it All of the above.
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5. The null hypothesis for Chi Square is:
One variable causes the other One variable moves with the other The variables are independent. All of the above.
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5. The null hypothesis for Chi Square is:
One variable causes the other One variable moves with the other The variables are independent. All of the above.
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6. The chi square test of independence involves comparing the observed values to:
Chance The standard error of the mean Expected values P-value All of the above
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6. The chi square test of independence involves comparing the observed values to:
Chance The standard error of the mean Expected values P-value All of the above
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7. Which of the following is an example of a non-parametric test?
Chi Square test of independence Mann-Whitney Fisher’s Exact Chi Square Goodness of Fit All of the above
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7. Which of the following is an example of a non-parametric test?
Chi Square test of independence Mann-Whitney Fisher’s Exact Chi Square Goodness of Fit All of the above
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8. The Chi Square Goodness of Fit test uses:
One sample Two samples
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8. The Chi Square Goodness of Fit test uses:
One sample Two samples
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9. The Chi Square test of independence uses:
One sample Two samples
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9. The Chi Square test of independence uses:
One sample Two samples
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10. The t-test such as you used in your paper is an example of:
Parametric statistics Non-parametric statistics Two categorical variables One categorical variable All of the above
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10. The t-test such as you used in your paper is an example of:
Parametric statistics Non-parametric statistics Two categorical variables One categorical variable All of the above
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Bonus: Hypothesis testing looks at the ________of the effect
Bonus: Hypothesis testing looks at the ________of the effect. Effect size looks at the size of the effect. Meaningfulness causation statistical significance Importance All of the above
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Bonus: Hypothesis testing looks at the ________of the effect
Bonus: Hypothesis testing looks at the ________of the effect. Effect size looks at the size of the effect. Meaningfulness causation statistical significance Importance All of the above
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Bonus: Hypothesis testing looks at the statistical significance of the effect. Effect size looks at the. Meaningfulness size of the effect Reason for the effect Likelihood of chance A & B
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