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34. Which of the following is the most appropriate test to determin there exist an association between BMI status (underweight, norm overweight, obese) and whether or not a person smoke. OA. Chi-Square test of independence O B. Chi-Square Goodness of fit test O C. Fisher's exact test D. t-test on Correla on

34. Which of the following is the most appropriate test to determin there exist an association between BMI status (underweight, norm overweight, obese) and whether or not a person smoke. OA. Chi-Square test of independence O B. Chi-Square Goodness of fit test O C. Fisher's exact test D. t-test on Correla on

MATLAB: An Introduction with Applications
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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34. Which of the following is the most appropriate test to determine there exist an association between BMI status (underweight, normal overweight, obese) and whether or not a person smoke. A. Chi-Square test of independence B. Chi-Square Goodness of fit test Fisher's exact test D. t-test on Correla on L. All of the above W. None of the above
Transcribed Image Text:34. Which of the following is the most appropriate test to determine there exist an association between BMI status (underweight, normal overweight, obese) and whether or not a person smoke. A. Chi-Square test of independence B. Chi-Square Goodness of fit test Fisher's exact test D. t-test on Correla on L. All of the above W. None of the above
For numbers 34 and 35: Consider the contingency table and R output below. The BMI status of 25 individuals were obtained and they were asked whether they smoke or not. BMI status Smoker Non-smoker Underweight 4 2 Normal 3 5 Overweight 4 2 Obese 4 2 TestSexpected # Expected Counts Smoking bmi no yes normal obese 2.40 2.60 overweight 2.88 3.12 underweight 2.88 3.12 Pearson's Chi-squared test data: .Table X-squared-1.9965, df = 3, p-value * 015731 Fisher's Exact Test for Count Data .Table P-value = 0.6325 alternative hypothesis: two.sided
Transcribed Image Text:For numbers 34 and 35: Consider the contingency table and R output below. The BMI status of 25 individuals were obtained and they were asked whether they smoke or not. BMI status Smoker Non-smoker Underweight 4 2 Normal 3 5 Overweight 4 2 Obese 4 2 TestSexpected # Expected Counts Smoking bmi no yes normal obese 2.40 2.60 overweight 2.88 3.12 underweight 2.88 3.12 Pearson's Chi-squared test data: .Table X-squared-1.9965, df = 3, p-value * 015731 Fisher's Exact Test for Count Data .Table P-value = 0.6325 alternative hypothesis: two.sided
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