Agriculture Reference
In-Depth Information
Table 10.17
ANOVA for split plot design
SOV
d.f.
MS
MS
F
-ratio
Table value of
F
Replication
r
1
RMS
RMS
RMS/Er.MS I
Main plot factor(A)
m
1
MS(A)
MS(A)
MS(A)/Er.MS I
Error I
(
r
1) (
m
1)
Er.MS(I)
Er.MS I
Subplot factor(B)
( n 1)
MS(B)
MS(B)
MS(B)/Er.MS II
Interaction (A
B)
(
m
1) (
n
1)
MS(AB)
MS(AB)
MS(AB)/Er.MS II
Error II
m
(
n
1) (
r
1)
Er.MS II
Er.MS II
Total
mnr
1
Table 10.18
Table totals for main plot replication
a 1
a 2
......
a j
......
a m
Total
Mean
R 1
y
y
......
y
......
y
y
y 100
110
120
1 j 0
1 m 0
100
R 2
y
y
......
y
......
y
y
y 200
210
220
2 j 0
2 m 0
200
:
:
:
:
:
:
:
:
R i
y i 10
y i 20
......
y ij 0
......
y im 0
y i 00
y i 00
:
:
:
:
:
:
:
:
R r
y r 10
y r 20
......
y rj 0
......
y rm 0
y r 00
y r 00
Total
y
y
......
y
......
y
y 000
y 000
010
020
0 j 0
0 m 0
Mean
y 010
y 020
y 0 j 0
y 0 m 0
P r
1 y
1
mn
2
H 1 : γ 's are not all equal,
α
Replication SS
¼
i 00
CF,
's are not all equal,
m
1 y
1
nr
0
SS(A)
¼
CF, SS Error I
¼
TSS
β
's are not all equal,
υ
j
0
's are not all equal
:
.
5. Work out the sum of squares due to the sub-
plot factor and interaction. For the purpose,
the following table of totals is required to the
formed (Table 10.19 ):
Note : In both tables the totals for main factor
A at different levels will be the same.
ð
Table 10
:
18
Þ
RSS
SS
ð
A
Þ
Let
the
level of
significance be 0.05
(Table 10.17 ).
The step-by-step procedure for the computa-
tion of different sums of squares and mean sum
of squares is given as follows:
¼ P r
1
m
n
1 y ijk ¼
1. Grand total
GT
:
m
X n
1
r
1
2
0
TSS
ð
Table 10
:
19
Þ¼
1 y
jk
CF
;
GT 2
2. Correction factor
ð
CF
Þ¼
mnr :
1
3. Total MS ¼ P r
1
m
P n
1 y
X n
1 y
1
mr
2
ijk CF :
2
SS B
ðÞ¼
00 k
CF
1
4. Work out the sum of squares due to the main
plot factor and the replication. For the pur-
pose, the following table of totals is required
to be framed (Table 10.18 ):
where y ij 0 ¼ P n
SS A ðÞ¼ TSS ð Table 10 : 19 Þ SS ð A Þ
SS
ð
B
Þ;
SS Error II
ð
Þ
¼
TSS
RSS
SS A
ðÞ
SS Error I
ð
Þ
SS B
ðÞ
SS AB
ð :
1 y ijk
Mean sum of squares is calculated by dividing
the sum of squares by the corresponding
degrees of freedom.
P r
m
¼
1
n
y
2
ij 0
TSS
(Table
10.18 )
CF,
i
j
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