5. Researchers are investigating household-income level and whether the family owns their home or rents, in a particular city. They will consider the proportion of high-income households who own their home and the proportion of low-income households who own. They want to check whether the two categorical variables (income level and home-own-v.-rent) are related. Test at the 0.01 significance level.Table of number of households in each sub-category. Data Own Rent high-income 47 50 low-income 34 44 a) Identify the correct alternative hypothesis for this test. Household income level and home-ownership-v.-renting are independent. There is a relationship between household income level and home-ownership-v.-renting. There is no relationship between household income level and home-ownership-v.-renting. Household income level varies much more than home-ownership-v.-renting proportions. b) The χ2χ2test statistic value is: c) The P-value is: d) Based on this, we Reject H0H0 Do not reject H0H0 e) Which means The two variables are mutually exclusive. There is definitely no relationship between the two variables. There is a significant relationship between the two variables. The data is not strong enough to support that there is a significant relationship between the two variables.
5. Researchers are investigating household-income level and whether the family owns their home or rents, in a particular city. They will consider the proportion of high-income households who own their home and the proportion of low-income households who own. They want to check whether the two categorical variables (income level and home-own-v.-rent) are related. Test at the 0.01 significance level.Table of number of households in each sub-category. Data Own Rent high-income 47 50 low-income 34 44 a) Identify the correct alternative hypothesis for this test. Household income level and home-ownership-v.-renting are independent. There is a relationship between household income level and home-ownership-v.-renting. There is no relationship between household income level and home-ownership-v.-renting. Household income level varies much more than home-ownership-v.-renting proportions. b) The χ2χ2test statistic value is: c) The P-value is: d) Based on this, we Reject H0H0 Do not reject H0H0 e) Which means The two variables are mutually exclusive. There is definitely no relationship between the two variables. There is a significant relationship between the two variables. The data is not strong enough to support that there is a significant relationship between the two variables.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 13PT
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5. Researchers are investigating household-income level and whether the family owns their home or rents, in a particular city. They will consider the proportion of high-income households who own their home and the proportion of low-income households who own. They want to check whether the two categorical variables (income level and home-own-v.-rent) are related. Test at the 0.01 significance level.
Table of number of households in each sub-category.
Data | Own | Rent |
---|---|---|
high-income | 47 | 50 |
low-income | 34 | 44 |
a) Identify the correct alternative hypothesis for this test.
- Household income level and home-ownership-v.-renting are independent.
- There is a relationship between household income level and home-ownership-v.-renting.
- There is no relationship between household income level and home-ownership-v.-renting.
- Household income level varies much more than home-ownership-v.-renting proportions.
b) The χ2χ2test statistic value is:
c) The P-value is:
d) Based on this, we
- Reject H0H0
- Do not reject H0H0
e) Which means
- The two variables are mutually exclusive.
- There is definitely no relationship between the two variables.
- There is a significant relationship between the two variables.
- The data is not strong enough to support that there is a significant relationship between the two variables.
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