Design and Analysis of experiments:
Factorial Design:
- It is an experimental design which involves
two or more independent variables and one dependent variables.
- It is designed in such a way that all possible
combinations of the selected value of each variable are used. e.g. 22 & 33 factorial design
Terms:-
1) Factor: these are those variable which involves in any experiments. e.g. Concentration, Temperature, Drug Treatment, Diet etc. Can be qualitative & quantitively.
2)Levels: These are the value or designation associated with the factors. e.g. 50C Temperature, Drug treatment.
3) Effects: These are the variation due to the variation due to the variation of factors.
4) Interactions: These are the responses due to the additively of factor effects.
Factorial Design:
zk Here k=Factor & z=Level
1) For 22 Factorial design:-
There are two factors all at two levels.
Here, 22 - Level-2 & factors-2
so, total possible combination
treatments are:- 22 = 2×2=4
Here, total 4 cases, where 2-Negative
&2-Posetive
Design:-
Also represnted as:-
Order | A | B | C | D |
---|---|---|---|---|
1 | - | - | + | 1 |
2 | + | - | - | 2 |
3 | - | + | - | 2 |
4 | + | + | + | 1 |
(-) = 2
2) For 23 factorial Design:-
There are two level and there factors 23 =2×2×2=8 total 8 treatment combination
two level- +ve and -ve
Now, for 23 factorial D. We have to take there factors A,B and C and assigned combination into only two blocks.
Factorial Effects
Order (Sum of replicates) |
A | B | C | AB | BC | AC | ABC | Block |
---|---|---|---|---|---|---|---|---|
1 (1) | - | - | + | + | + | + | - | 2 |
2 a | + | - | - | + | - | - | + | 1 |
3 b | - | + | - | - | - | + | + | 1 |
4 ab | + | + | + | - | + | - | - | 2 |
5 c | + | - | - | - | + | - | + | 1 |
6 ac | + | - | + | - | - | + | - | 2 |
7 bc | + | + | - | + | - | - | - | 2 |
8 abc | + | + | + | + | + | + | + | 1 |
(+)=1, (-)=2
23 design in two blocks with ABC confirmed.
Advantages of Factorial Design:
- factorial design are economical as they save time as well as materials combination.
- Helps in Simultaneous study of two or more factors.
- Provide efficient and adequate relative information.
- Help in predicting the consequences when two or more factor are combined.
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