Quarter Fraction of a 2^k Factorial Experiment
Lecture - 38
When the fraction index is equal to 2 that’s p = 2 of 2^k factorial experiment, then it is called
quarter or 1/4 fraction factorial experiment.
The ¼ replicate of
I = P = Q = PQ
The aliases of any effect are obtained by multiplying each
contrast in the identity mod 2 with the effect. Since there are three contrasts
in the defining relation. Each effect have 3 aliases.
For example, in
I = ABE = CDE = ABCD
The alias of A is
A X ABE = BE
A X CDE =ACDE
A X ABCD = BCD
A = BE =ACDE = BCD
The defining contrast should involve contrasts so that are no
important effect is aliased with any other important effect.
Analysis
To obtain a treatment combination of 2^(K-2) factorial experiment, first write down the
treatment combination for 2^(K-2)
Consider the construction of 2^(K-2)
The effect is obtained by:
Example:
write 1/4
Solution: 2^5 factorial experiment consists 5 factors A, B,
C, D, E and each factor have 2 levels. The
ABCD X ABE = CDE
The defining relation is
I = ABCD = ABE = CDE
The alias structure of the design is:
A X I
A = BCD = BE = ACDE
B = ACD = AE = BCDE
C = ABD = ABCE = DE
AC = BD = BCE =ADE
BC = AD = ACE = BDE
ABC = D = CE =A BDE
The eight-treatment combination for a 1/4
ANOVA Table for 2^(5-2)
|
SV |
df |
|
A |
1 |
|
B |
1 |
|
C |
1 |
|
D |
1 |
|
E |
1 |
|
Error |
2 |
|
Total |
7 |
Example:
Construct 1/4
Solution:
The 2^6 factorial experiment consists 6 factors A, B,
C, D, E, F and each factor have 2 levels. The 1/4
ABCD X CDEF = ABEF
So, the defining relation is
I = ABCD = CDEF = ABEF
The alias structure of the other design would be:
|
TC |
P |
Q |
PQ |
|
ABCE |
BCDF |
ADEF |
|
|
A |
BCF |
ABCDF |
DEF |
|
B |
ACE |
CDE |
ABDEF |
|
AB |
CE |
ACDE |
BDEF |
|
C |
ABE |
BDF |
ACDEF |
|
AC |
BE |
ABDF |
CDEF |
|
BC |
AE |
DF |
ABCDEF |
|
ABC |
E |
ADF |
BDCEF |
|
D |
ABCDE |
BCF |
AEF |
|
AD |
BCDE |
ABCF |
EF |
|
BD |
ACDE |
CF |
ABEF |
|
CD |
ABDE |
BF |
ACEF |
|
ACD |
BDE |
ABF |
CEF |
|
BCD |
ADE |
F |
ABCEF |
|
ABCD |
DE |
AF |
BCEF |
The sixteen treatment combinations of 1/4
|
TC |
A |
B |
C |
D |
E = ABC |
|
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|
a |
1 |
-1 |
-1 |
-1 |
1 |
|
b |
-1 |
1 |
-1 |
-1 |
1 |
|
ab |
1 |
1 |
-1 |
-1 |
-1 |
|
c |
-1 |
-1 |
1 |
-1 |
1 |
|
ac |
1 |
-1 |
1 |
-1 |
-1 |
|
bc |
-1 |
1 |
1 |
-1 |
-1 |
|
abc |
1 |
1 |
1 |
-1 |
1 |
|
d |
-1 |
-1 |
-1 |
1 |
-1 |
|
ad |
1 |
-1 |
-1 |
1 |
1 |
|
bd |
-1 |
1 |
-1 |
1 |
1 |
|
abd |
1 |
1 |
-1 |
1 |
-1 |
|
cd |
-1 |
-1 |
1 |
1 |
1 |
|
acd |
1 |
-1 |
1 |
1 |
-1 |
|
bcd |
-1 |
1 |
1 |
1 |
-1 |
|
abcd |
1 |
1 |
1 |
1 |
1 |
ANOVA Table:
|
SV |
DF |
SS |
MS |
|
|
A |
1 |
|
|
|
|
B |
1 |
|
|
|
|
C |
1 |
|
|
|
|
D |
1 |
|
|
|
|
E |
1 |
|
|
|
|
F |
1 |
|
|
|
|
Error
|
9 |
|
|
|
|
Total
|
15 |
|
|
|
Example: Test the significance at 5% of ¼ of 2^6 factorial
experiment using the data below:
|
TC |
A |
B |
C |
D |
Yield |
|
1 |
-1 |
-1 |
-1 |
-1 |
6 |
|
2 |
1 |
-1 |
-1 |
-1 |
10 |
|
3 |
-1 |
1 |
-1 |
-1 |
32 |
|
4 |
1 |
1 |
-1 |
-1 |
60 |
|
5 |
-1 |
-1 |
1 |
-1 |
4 |
|
6 |
1 |
-1 |
1 |
-1 |
15 |
|
7 |
-1 |
1 |
1 |
-1 |
26 |
|
8 |
1 |
1 |
1 |
-1 |
60 |
|
9 |
-1 |
-1 |
-1 |
1 |
8 |
|
10 |
1 |
-1 |
-1 |
1 |
12 |
|
11 |
-1 |
1 |
-1 |
1 |
34 |
|
12 |
1 |
1 |
-1 |
1 |
60 |
|
13 |
-1 |
-1 |
1 |
1 |
16 |
|
14 |
1 |
-1 |
1 |
1 |
5 |
|
15 |
-1 |
1 |
1 |
1 |
37 |
|
16 |
1 |
1 |
1 |
1 |
52 |
Solution:
The ¼ of 2^6 =
2^4 = 16 treatment combinations
ANOVA Table:
|
TC |
df |
SS |
MS |
F |
Ftab |
|
A |
1 |
770.0625 |
770.0625 |
8.65 |
5.11 |
|
B |
1 |
5076.5625 |
5076.5625 |
57.03 |
|
|
C |
1 |
3.0625 |
3.0625 |
0.033 |
|
|
D |
1 |
7.5625 |
7.5625 |
0.078 |
|
|
E |
1 |
0.5625 |
0.5625 |
0.006 |
|
|
F |
1 |
0.5625 |
0.5625 |
0.006 |
|
|
Error |
9 |
801.0625 |
89 |
|
|
|
Total |
15 |
|
|
|
|
Example:
Construct 1/4
Solution:
The 2^7 factorial experiment consists 7 factors A, B, C, D, E, F, G and each factor have 2 levels. The 1/4
|
TC |
P
= ABDE |
Q
= BCDFG |
PQ
= ACEFG |
|
ABD |
E |
ACFG |
BCDEFG |
|
BCD |
ACE |
F |
ABEF |
|
ABCD |
CE |
AF |
BDEF |
|
ACE |
BD |
ABFG |
FG |
|
ABCE |
CE |
ADEFG |
BFG |
|
ABCDE |
CE |
G |
BDFG |
We contract 4 fractions as:
ANOVA Table for 2^(7-2)
|
SV |
df |
|
A |
1 |
|
B |
1 |
|
C |
1 |
|
D |
1 |
|
E |
1 |
|
F |
1 |
|
G |
1 |
|
Error |
24 |
|
Total |
31 |
When the fraction index is equal to 3 that’s 2^k
The 1/8 replicate of 2^k
Example: 1 / 8 replicate of 2^k
The treatment combination is
The 3 generator ABCE, BCDF, ACDG
The three generators are E = ABC, F = BCD, G = ACD
I = ABCD = BCDF = ACDG
The aliases can obtained in the same manner discussed in earlier section.
The 8 fractions is obtained as:
- Read More:MCQ;s on Confounding
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