2. An experiment is conducted in which four treatments are to be compared in five blocks. The following data are generated: Block Treatments 1 2 3 4 1 12.8 10.6 11.7 10.7 11.0 2 11.7 14.2 11.8 9.9 13.8 3 11.5 14.7 13.6 10.7 15.9 4 12.6 16.5 15.4 9.6 17.1 Test the hypothesis at the 0.05 level of significance that there is no difference between treatment means. This time, instead of using a fixed-effects model, assume a random-effects model.

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2. An experiment is conducted in which four treatments are to be
compared in five blocks. The following data are generated:
Block
Treatments
1
2
3
4
5
1
12.8
10.6
11.7
10.7
11.0
2
11.7
14.2
11.8
9.9
13.8
3
11.5
14.7
13.6
10.7
15.9
4
12.6
16.5
15.4
9.6
17.1
Test the hypothesis at the 0.05 level of significance that there is no
difference between treatment means. This time, instead of using a
fixed-effects model, assume a random-effects model.
Transcribed Image Text:2. An experiment is conducted in which four treatments are to be compared in five blocks. The following data are generated: Block Treatments 1 2 3 4 5 1 12.8 10.6 11.7 10.7 11.0 2 11.7 14.2 11.8 9.9 13.8 3 11.5 14.7 13.6 10.7 15.9 4 12.6 16.5 15.4 9.6 17.1 Test the hypothesis at the 0.05 level of significance that there is no difference between treatment means. This time, instead of using a fixed-effects model, assume a random-effects model.
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