The two-by-two table below shows the results for a case control study with 40 cases and 80 controls. ExposedUnexposedTotal Cases251540 Controls107080 Total3585120 Using the 2x2 table above, a chi-square test was used to test the association between disease and exposure. The resulting p-value was 0.001. Which of the following best interprets the result? Question 5 options: Based on a chi-square test with 2 degrees of freedom, we find that there is a statistically significant association between disease and exposure (p=0.001). Based on a chi-square test with 2 degrees of freedom, we find that there is a weak association between disease and exposure (p=0.001). Based on a chi-square test with 1 degrees of freedom, we find that there is a weak association between disease and exposure (p=0.001). The results should not be interpreted because a Fisher's exact test should have been used instead. Based on a chi-square test with 1 degrees of freedom, we find that there is a statistically significant association between disease and exposure (p=0.001).

Given: Expected frequency calculation:

Answered: The two-by-two table below shows the…

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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The two-by-two table below shows the results for a case control study with 40 cases and 80 controls.


	Exposed	Unexposed	Total
Cases	25	15	40
Controls	10	70	80
Total	35	85	120

Using the 2x2 table above, a chi-square test was used to test the association between disease and exposure. The resulting p-value was 0.001. Which of the following best interprets the result?

Question 5 options:

	Based on a chi-square test with 2 degrees of freedom, we find that there is a statistically significant association between disease and exposure (p=0.001).
	Based on a chi-square test with 2 degrees of freedom, we find that there is a weak association between disease and exposure (p=0.001).
	Based on a chi-square test with 1 degrees of freedom, we find that there is a weak association between disease and exposure (p=0.001).
	The results should not be interpreted because a Fisher's exact test should have been used instead.
	Based on a chi-square test with 1 degrees of freedom, we find that there is a statistically significant association between disease and exposure (p=0.001).