what is the conclusion of the independence test? A.Reject H0. The data provide sufficient evidence of an association. B. Do not reject H0. The data do not provide sufficient evidence of an association. C. Reject H0. The data do not provide sufficient evidence of an association. D. Do not reject H0. The data provide sufficient evidence of an association.
what is the conclusion of the independence test? A.Reject H0. The data provide sufficient evidence of an association. B. Do not reject H0. The data do not provide sufficient evidence of an association. C. Reject H0. The data do not provide sufficient evidence of an association. D. Do not reject H0. The data provide sufficient evidence of an association.
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Question
what is the conclusion of the independence test?
B. Do not reject H0. The data do not provide sufficient evidence of an association.
C. Reject H0. The data do not provide sufficient evidence of an association.
D. Do not reject H0. The data provide sufficient evidence of an association.
![Preventable chronic diseases are increasing rapidly in some regions, particularly diabetes.
Shown below is a contingency table showing cross classification of educational attainment
and diabetic state for a random sample of 1201 people in a region (HS is high school). At
the 1% significance level, do the data provide sufficient evidence to conclude that an
association exists between educational level and diabetic state for the region?
Some college College grad
Diabetes
No diabetes
Total
Less than HS
35
259
294
HS grad
35
162
197
35
374
409
16
285
301
What are the null and alternative hypotheses?
O A. Ho: The two variables, educational level and diabetic state, are associated.
H₂: The two variables, educational level and diabetic state, are not associated.
O B. Ho: The variable educational level is dependent upon diabetic state.
H₂: The variable diabetic state is dependent upon educational level.
The test statistic is
(Round to three decimal places as needed.)
The P-value is
(Round to three decimal places as needed.)
Total
121
1080
1201
O C. Ho: The two variables, educational level and diabetic state, are not associated.
H₂: The two variables, educational level and diabetic state, are associated.
n](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2e5fcb4e-ad37-4efb-a0eb-b0b51209ab1c%2F66b4c155-f19f-4c4b-80fb-4dbbcdbe718f%2Fkfeakr_processed.png&w=3840&q=75)
Transcribed Image Text:Preventable chronic diseases are increasing rapidly in some regions, particularly diabetes.
Shown below is a contingency table showing cross classification of educational attainment
and diabetic state for a random sample of 1201 people in a region (HS is high school). At
the 1% significance level, do the data provide sufficient evidence to conclude that an
association exists between educational level and diabetic state for the region?
Some college College grad
Diabetes
No diabetes
Total
Less than HS
35
259
294
HS grad
35
162
197
35
374
409
16
285
301
What are the null and alternative hypotheses?
O A. Ho: The two variables, educational level and diabetic state, are associated.
H₂: The two variables, educational level and diabetic state, are not associated.
O B. Ho: The variable educational level is dependent upon diabetic state.
H₂: The variable diabetic state is dependent upon educational level.
The test statistic is
(Round to three decimal places as needed.)
The P-value is
(Round to three decimal places as needed.)
Total
121
1080
1201
O C. Ho: The two variables, educational level and diabetic state, are not associated.
H₂: The two variables, educational level and diabetic state, are associated.
n
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