Hay Fever Relief Data: A research laboratory was developing a new compound for the relief of severe cases of hay fever. In an experiment with 36 volunteers. the amounts of the two active ingredients (factors A and B ) in the compound were varied at three levels each. Randomization was used in assigning four volunteers to each of the nine treatments. The data on hours of relief follow. Factor B (ingredient 2) j= 2 Medium j = 3 High Factor A j=1 Low (ingredient 1) i =1 Low 2.4 4.6 4.8 ... ... 2.5 4.7 4.6 i = 2 Medium 5.8 8.9 9.1 ... ... 5.3 9.0 9.4 i = 3 High 6.1 9.9 13.5 ... ... 6.2 10.1 13.2 Use the corresponding SAS output to answer each of the following questions. 1. Does the normality assumption appear to be reasonable here? Q-Q Plot for residuals 0.4 0.2 00 0.0 -0.2 -0.4 -0.6 -3 -2 -1 2 Normal Quantiles residuals
Hay Fever Relief Data: A research laboratory was developing a new compound for the relief of severe cases of hay fever. In an experiment with 36 volunteers. the amounts of the two active ingredients (factors A and B ) in the compound were varied at three levels each. Randomization was used in assigning four volunteers to each of the nine treatments. The data on hours of relief follow. Factor B (ingredient 2) j= 2 Medium j = 3 High Factor A j=1 Low (ingredient 1) i =1 Low 2.4 4.6 4.8 ... ... 2.5 4.7 4.6 i = 2 Medium 5.8 8.9 9.1 ... ... 5.3 9.0 9.4 i = 3 High 6.1 9.9 13.5 ... ... 6.2 10.1 13.2 Use the corresponding SAS output to answer each of the following questions. 1. Does the normality assumption appear to be reasonable here? Q-Q Plot for residuals 0.4 0.2 00 0.0 -0.2 -0.4 -0.6 -3 -2 -1 2 Normal Quantiles residuals
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Need help with #1 Does the normality assumption appear to be reasonable and why?
Transcribed Image Text:Hay Fever Relief Data: A research laboratory was developing a new compound for the relief of severe cases of
hay fever. In an experiment with 36 volunteers. the amounts of the two active ingredients (factors A and B ) in
the compound were varied at three levels each. Randomization was used in assigning four volunteers to each of
the nine treatments. The data on hours of relief follow.
Factor B (ingredient 2)
j=1
Low
j = 2
Medium
Factor A
j= 3
(ingredient 1)
High
i = 1
Low
2.4
4.6
4,8
...
...
2.5
4.7
4.6
i = 2
Medium
5.8
8.9
9.1
...
...
5.3
9.0
9.4
i = 3 High
6.1
9.9
13.5
...
...
...
6.2
10.1
13.2
Use the corresponding SAS output to answer each of the following questions.
1. Does the normality assumption appear to be reasonable here?
Q-Q Plot for residuals
0.4
0.2
0.0
|
-0.2
o 000
-0.4
-0.6
-2
-1
2
3
Normal Quantiles
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