In Exercises 5–16, use analysis of variance for the indicated test. In Exercises 15 and 16, use the data set in Appendix B. Secondhand Smoke Refer to Data Set 12 “Passive and Active Smoke” in Appendix B and use the measured serum cotinine levels (in mg/mL) from the three groups of subjects (smokers, nonsmokers exposed to tobacco smoke, and nonsmokers not exposed to tobacco smoke). When nicotine is absorbed by the body, cotinine is produced. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. What do the results suggest about the effects of secondhand smoke?
In Exercises 5–16, use analysis of variance for the indicated test. In Exercises 15 and 16, use the data set in Appendix B. Secondhand Smoke Refer to Data Set 12 “Passive and Active Smoke” in Appendix B and use the measured serum cotinine levels (in mg/mL) from the three groups of subjects (smokers, nonsmokers exposed to tobacco smoke, and nonsmokers not exposed to tobacco smoke). When nicotine is absorbed by the body, cotinine is produced. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. What do the results suggest about the effects of secondhand smoke?
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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In Exercises 5–16, use analysis of variance for the indicated test.
In Exercises 15 and 16, use the data set in Appendix B.
Secondhand Smoke Refer to Data Set 12 “Passive and Active Smoke” in Appendix B and use the measured serum cotinine levels (in mg/mL) from the three groups of subjects (smokers, nonsmokers exposed to tobacco smoke, and nonsmokers not exposed to tobacco smoke). When nicotine is absorbed by the body, cotinine is produced. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. What do the results suggest about the effects of secondhand smoke?
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