9.7 Refer to Example 8.6. The political action group was interested in determining regionaldifferences in the public's opinion concerning air pollution. Write a contrast in the four populationmeans to answer each of the following questionsa. Question 1: Is the proportion of people who thought the EPA's standards arenot stringent enough different for the people living in the East compared to thepeople living in the West?b. Question 2: Is the proportion of people who thought the EPA's standards are notstringent enough different for the people living in the Northeast compared to thepeople living in the other three regions?c. Question 3: Is the proportion of people who thought the EPA's standards are notstringent enough different for the people living in the Northeast compared to thepeople living in the Southeast?d. Simultaneously test if the three contrasts are different from 0 using an αe. Are the three contrasts mutually orthogonal?.05 test.Refer to Example 8.6 Data setRegionSMSANESE.817810.12.13.605656MeanStandard Deviation343.02730274.0179

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Asked Mar 18, 2019
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9.7 Question attached in picture.

9.7 Refer to Example 8.6. The political action group was interested in determining regional
differences in the public'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 EPA'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 EPA's standards are not
stringent enough different for the people living in the Northeast compared to the
people living in the other three regions?
c. Question 3: Is the proportion of people who thought the EPA'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 an α
e. Are the three contrasts mutually orthogonal?
.05 test.
Refer to Example 8.6 Data set
Region
SMSA
NE
SE
.81
78
10
.12
.13
.60
56
56
Mean
Standard Deviation
343
.0273
0274
.0179
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9.7 Refer to Example 8.6. The political action group was interested in determining regional differences in the public'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 EPA'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 EPA's standards are not stringent enough different for the people living in the Northeast compared to the people living in the other three regions? c. Question 3: Is the proportion of people who thought the EPA'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 an α e. Are the three contrasts mutually orthogonal? .05 test. Refer to Example 8.6 Data set Region SMSA NE SE .81 78 10 .12 .13 .60 56 56 Mean Standard Deviation 343 .0273 0274 .0179

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Step 1

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Hey there! Thank you for the question. Since your question consists of at least 3 different questions, we have solved the first question (Question 1 in part (a)) in detail for you and given an outline as to how the other parts can be solved in a similar manner. If you need help with any other part, then please re-post the question and specify the part you need answered.

Step 2

Part (a): Question 1:

Contrast and Sum of Square of Contrast:

A contrast is defined as a linear combination of g treatment means μi, (for i = 1, 2, …, g), such that the coefficients of the corresponding means add up to 0. Thus, ∑wi μi is a contrast if ∑wi = 0, when the sum is done over all i = 1, 2, …, g.

Denote μ1, μ2, μ3 and μ4 as the population mean proportions of people in the Northeast (NE), Southeast (SE), Midwest (MW) and West (W) respectively, who thought the EPA’s standards concerning air pollution were not stringent enough.

Now, East (E) comprises of NE and SE; W comprises of MW and W.

The contrast in the 4 population means, in order to determine whether the proportion of people who thought the EPA’s standards concerning air pollution were not stringent enough is different for people in the East as compared to those in the West is:

C1: μ1 + μ2 – (μ3 + μ4) = μ1 + μ2μ3μ4.

Here, w1 = w2 = 1; w3 = w4 = –1, so that ∑wi = 0, when the sum is done over all i = 1, 2,3 4. (Here, g = 4).

Denote the observations as yij, for the jth observation of the ith region. The contrasts are estimated in terms of the region means.

The hypothesis to be tested is: H0 : ∑wi μi = 0, vs, H0 : ∑wi μi ≠ 0.

The sum of square of the contrast is:

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Step 3

Mean square error:

Let Si2 be the within treatment sum of squares for the ith treatment (in this case, the regions), taken about the treatment mean.

In case the ith treatment has ni observations and the sample variance for the ith treatment is known to be Vi, then, Si2 = (ni – 1) Vi [as sample variance is obtained by dividing the sum of squares by (ni – 1) instead of ni].

The, the error sum of squares can be obtained as: SSE = ∑ni Si2, when the sum is done over all i = 1, 2,3 4.

The mean square error is o...

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