# solution

Refer to Example 8.6. The political action group was interested in determining regional differences in the publicâ€™s opinion concerning air pollution. Write a contrast in the four population means to answer each of the following questions.

a. Question 1: Is the proportion of people who thought the EPAâ€™s standards are not stringent enough different for the people living in the East compared to the people living in the West?

b. Question 2: Is the proportion of people who thought the EPAâ€™s standards are not stringent enough different for the people living in the Northeast compared to the people living in the other three regions?

Â c. Question 3: Is the proportion of people who thought the EPAâ€™s standards are not stringent enough different for the people living in the Northeast compared to the people living in the Southeast?

d. Simultaneously test if the three contrasts are different from 0 using anÂ  Â .05 test.

e. Are the three contrasts mutually orthogonal?

Example 8.6

A political action group conducted a national opinion poll to evaluate the voting publicâ€™s opinion concerning whether the new EPA regulations on air pollution were stringent enough to protect the publicâ€™s health. The group was also interested in determining if there were regional differences in the publicâ€™s opinion concerning air pollution. For this poll, the country was divided into four geographical regions (NE, SE, MW, W). A random sample of 100 registered voters was obtained from each of six standard metropolitan statistical areas (SMSAs) located in each of the four regions. The data in Table 8.21 are the sample proportions, Â , of people who thought the EPA standards were not stringent enough for the 24 SMSAs.

a. Is there a significant difference in the variability of the four regionâ€™s proportion? UseÂ  Â .05.

b. Transform the data using

c. Compute the sample means and sample standard deviations for the transformed data. Did the transformation yield a stabilization of the variances?

a. The BFL test for the hypothesis Â was computed to be L 5 3.55 with p-value 5 .033. Thus, we reject H0 and conclude that at the a 5 .05 level there is significant evidence of a difference in the population variances.

b. Using a calculator, computer spreadsheet, or Table 9 in the Appendix, the transformed data are shown in Table 8.22.

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