10. A manufacturer is testing its new grain moisture meter and sampled out 5 grain types (A, B, C, D, E) and measured their moisture contents (MC) at 3 trials each as shown in the table 2. (see attached picture for table 2) A. Compute for the estimate of the variance within treatments and compute for the degrees of freedom within treatments. B. When asked to compute if there is a significant difference in the means at 1% level of significance, you find that observed variance ratio is 101.835, noting that mean squares of the deviations from the means within treatments is larger than between treatments. What will be the critical f value at 1% level of significance? Indicate input arguments used in looking at the table. What will this say about the effect of grain sample to the moisture content?

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10. A manufacturer is testing its new grain moisture meter and sampled out 5 grain types (A, B, C, D, E) and measured their moisture contents (MC) at 3 trials each as shown in the table 2. (see attached picture for table 2) A. Compute for the estimate of the variance within treatments and compute for the degrees of freedom within treatments. B. When asked to compute if there is a significant difference in the means at 1% level of significance, you find that observed variance ratio is 101.835, noting that mean squares of the deviations from the means within treatments is larger than between treatments. What will be the critical f value at 1% level of significance? Indicate input arguments used in looking at the table. What will this say about the effect of grain sample to the moisture content?
Table 2
Replication
1
Sample
MC
9.60
A
9.80
3
9.70
12.80
В
2
12.90
3
12.70
1
16.80
C
2
17.20
3
17.50
1
18.30
D
2
18.60
3
18.20
1
50.70
E
20.90
3
20.70
Transcribed Image Text:Table 2 Replication 1 Sample MC 9.60 A 9.80 3 9.70 12.80 В 2 12.90 3 12.70 1 16.80 C 2 17.20 3 17.50 1 18.30 D 2 18.60 3 18.20 1 50.70 E 20.90 3 20.70
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