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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

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.5: Interpreting Data
Problem 1C
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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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