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 1346 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? Less than HS HS grad 40 31 297 207 337 238 Diabetes No diabetes Total Some college College grad Total 136 1210 1346 32 389 421 33 317 350 What are the null and alternative hypotheses? O A. Ho: The two variables, educational level and diabetic state, are not associated. H₂: The two variables, educational level and diabetic state, are associated. The test statistic is (Round to three decimal places as needed.) O B. Ho: The variable educational level is dependent upon diabetic state. H₂: The variable diabetic state is dependent upon educational level. O C. Ho: The two variables, educational level and diabetic state, are associated. H₂: The two variables, educational level and diabetic state, are not associated.

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 1346 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? Less than HS HS grad 40 31 297 207 337 238 Diabetes No diabetes Total Some college College grad Total 136 1210 1346 32 389 421 33 317 350 What are the null and alternative hypotheses? O A. Ho: The two variables, educational level and diabetic state, are not associated. H₂: The two variables, educational level and diabetic state, are associated. The test statistic is (Round to three decimal places as needed.) O B. Ho: The variable educational level is dependent upon diabetic state. H₂: The variable diabetic state is dependent upon educational level. O C. Ho: The two variables, educational level and diabetic state, are associated. H₂: The two variables, educational level and diabetic state, are not associated.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

What is the conclusion of the independence test?

Reject

H0.

The data

do not provide

sufficient evidence of an association.

Do not reject

H0.

The data

provide

sufficient evidence of an association.

Do not reject

H0.

The data

do not provide

sufficient evidence of an association.

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 1346 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?
Less than HS HS grad
40
Diabetes
No diabetes 297
Total
337
31
207
238
Some college College grad Total
136
1210
1346
32
389
421
33
317
350
What are the null and alternative hypotheses?
O A. Ho: The two variables, educational level and diabetic state, are not associated.
H₂: The two variables, educational level and diabetic state, are associated.
The test statistic is.
(Round to three decimal places as needed.)
The P-value is
B. Ho: The variable educational level is dependent upon diabetic state.
H₂: The variable diabetic state is dependent upon educational level.
O C. Ho: The two variables, educational level and diabetic state, are associated.
H₂: The two variables, educational level and diabetic state, are not associated.

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