a) We know
MS = SS/DF, hence SS = MS*DF
Thus, SS for A is
SS = 1*50 = 50
DF = SS/MS
Thus, DF for B
DF = 80/40 = 2
Total SS is sum of all SS
Thus, 172 = 50 + 80 + 30 + Error
SS
SS for Error = 172 - 160
SS for Error = 12
MS for Error = SS / DF
= 12/12 = 1
F for A is MS for A/ MS for
Error
F for A = 50/1 = 50
F for B is MS for B/ MS for
Error
F for B = 40/1 = 40
F for interaction is MS for interaction/ MS for
Error
F for interaction = 15/1 = 15
p-value for A = F.DIST.RT(50, 1,
12)
= 0.000013
p-value for B = F.DIST.RT(40, 1,
12)
= 0.000038
p-value for interaction = F.DIST.RT(15, 1,
12)
= 0.0022
Filled ANOVA table is
Source | SS | DF | MS | F | p-value |
A | 50 | 1 | 50 | 50 | 0.000013 |
B | 80 | 2 | 40 | 40 | 0.000038 |
Interaction | 30 | 2 | 15 | 15 | 0.0022 |
Error | 12 | 12 | 1 | ||
Total | 172 | 17 |
b) Degrees of Freedom for B =
2
Levels used for factor B = 2 + 1 =
3
c) Levels used for factor A = DF for A + 1 = 1 + 1 =
2
Total DF + 1 = Levels of A * Levels of B *
n where n is
the number of replications
18 = 2 * 3 * n
n = 3
Number of replications performed =
3
d) Assume level of significance =
0.05
p-value for A is less than 0.05
Hence there is no effect of factor
A
p-value for B is less than 0.05
Hence there is no effect of factor
B
p-value for interaction is less than
0.05
Hence there is no effect of
interaction
e) Estimate of the random error component standard
deviation
= squareroot(12) (Since standard deviation is asked we
take the square root of SS for Error)
= 3.4641
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