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omework Check My Work oIn a completely randomized design, 12 experimental units were used for the first treatment, 15 for the

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Answer #1

Solution:

Given:
First Treatment: n1 = 12
Second Treatment: n2 = 15
Third Treatment: n3 = 20
SSTR = 1000
SST = 1500
We have to complete ANOVA table.


SSE = SST - SSTR

SSE = 1500 - 1000

SSE = 500

Degrees of Freedom:

dftreatments = k - 1

dftreatments = 3 - 1

dftreatments = 2

dftotal = N - 1

where N = n1 + n2+ n3 = 12+15+20 = 47

Then

dftotal = 47 - 1

dftotal = 46

and

dferror =dftotal - dftreatments

dferror = 46 - 2

dferror =44

Mean Squares:

MSTR = SSTR / dftreatment

MSTR = 1000 / 2

MSTR = 500

MSE = SSE / dferror

MSE = 500 / 44

MSE = 11.36

F = MSTR / MSE

F = 500 / 11.36

F = 44.00

P-value:

Use excel command:

=F.DIST.RT( x , df1 , df2 )

=F.DIST.RT( 44.00 , 2 , 44)

=0.0000

Thus p-value = 0.0000

ANOVA table
Source SS    df MS F    p-value
Treatment 1,000 2 500.00 44.00 0.0000
Error 500 44 11.36
Total 1,500 46

At a 0.05 level of significance , is there a significant difference between the treatments?
The p-value is less than 0.05
Conclusion:
We reject H0, thus there is a significant difference between the treatments

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