Assume an industrial psychologist has polled a group of adults on which characteristic of an automobile is most important to them, appearance, performance, or economy. Some of these adults have kids and some don't. The number people preferring each of these response categories is given below. PREFERENCE Appearance Performance Economy __________________________________________________________ | | | | Kids |_____ |_____ |_____ | | 70 | 60 | 120 | |_________________ |_________________ |_____________________| | | | | No Kids |_____ |_____ |_____ | | 145 | 75 | 80 | |_________________ |_________________ |_____________________| Use the chi-square test for independence to test whether these variables are related at alpha = .05. You'll need to get all of the expected values, and row and column totals. 48. What is the null hypothesis for this test? H0: Parenting status and preference are independent in the population H0: Parenting status and preference are not independent in the population. H0: Parenting status and preference are independent in the sample. H0: Parenting status and preference are not independent in the sample. 49. What is the alternative hypothesis for this test? H1: Parenting status and preference are related in the sample. H1: Parenting status and preference are not related in the sample. H1: Parenting status and preference are not related in the population. H1: Parenting status and preference are related in the population. 50. What are the degrees of freedom for the test? 2 3 4 6 51. What is the critical value for the test? 5.99 3.84 9.448 7.38
Assume an industrial psychologist has polled a group of adults on which characteristic of an automobile is most important to them, appearance, performance, or economy. Some of these adults have kids and some don't. The number people preferring each of these response categories is given below.
PREFERENCE
Appearance Performance Economy
__________________________________________________________
| | | |
Kids |_____ |_____ |_____ |
| 70 | 60 | 120 |
|_________________ |_________________ |_____________________|
| | | |
No Kids |_____ |_____ |_____ |
| 145 | 75 | 80 |
|_________________ |_________________ |_____________________|
Use the chi-square test for independence to test whether these variables are related at alpha = .05. You'll need to get all of the expected values, and row and column totals.
What is the null hypothesis for this test?
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H0: Parenting status and preference are independent in the population |
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H0: Parenting status and preference are not independent in the population. |
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H0: Parenting status and preference are independent in the sample. |
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H0: Parenting status and preference are not independent in the sample. |
49.
What is the alternative hypothesis for this test?
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H1: Parenting status and preference are related in the sample.
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H1: Parenting status and preference are not related in the sample. |
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H1: Parenting status and preference are not related in the population.
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H1: Parenting status and preference are related in the population. |
50.
What are the degrees of freedom for the test?
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2 |
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3 |
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4 |
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6 |
What is the critical value for the test?
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5.99 |
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3.84 |
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9.448 |
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|
7.38 |
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