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In Exercise use analysis of variance for

Chapter 12, Problem 16BSC

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QUESTION:

In Exercise? ?use analysis of variance for the indicated test. In Exercise, use the data set from Appendix B. Secondhand Smoke Refer to Data Set 9 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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QUESTION:

In Exercise? ?use analysis of variance for the indicated test. In Exercise, use the data set from Appendix B. Secondhand Smoke Refer to Data Set 9 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?

ANSWER:

Solution 16BSC Step 1 The given problem explain about secondhand Smoke. We can’t proceed with ANOVA. Hence we would perform the alternative to ANOVA which is Kruskal-wallis test, Analyze > Nonparametric Tests > Legacy Dialogs > K Independent Samples in SPSS. Then we know that use the measured serum cotinine levels (in mg/mL) from the three groups of subjects is smokers, nonsmokers exposed to tobacco smoke, and non smokers not exposed to tobacco smoke. From the given problem the claim that the three samples are from populations with the same mean. The null hypothesis is that the samples are from populations with the same mean or 1 =2 . 3 Then ANOVA for the data set table in below. Test Statistics a, Cotinine Chi-Square 62.351 Df 2 Asymp. Sig. .000 a. Kruskal Wallis Test The above table is SPSS output for one-way ANOVA table.

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