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Factorial designs at two levels Ch. 5. Factorial Design Two levels All possible combinations. Two factors and variables. Two level  simple interpretation,

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Presentation on theme: "Factorial designs at two levels Ch. 5. Factorial Design Two levels All possible combinations. Two factors and variables. Two level  simple interpretation,"— Presentation transcript:

1 Factorial designs at two levels Ch. 5

2 Factorial Design Two levels All possible combinations. Two factors and variables. Two level  simple interpretation, few runs per factor Quantitative or qualitative factors Factors can interact (nonzero correlations!)

3 Example Three factors on clarity of film (wax formula): A: emulsifier, B: emulsifier, C: catalyst concentration. Each factor at two levels: 2 3 factorial design.

4 Example 1

5 Example 2

6 Example 3

7

8 Interactions: TK=(33-13)/2 =10 TK=(11.5+8.5)/2 =10 TCK=[(35-31)/2- (14-12)/2]/2 =0.5 CKT=[(-3+4)/2- (-7+6)/2]/2 =0.5

9 Example 3 TCK=(-60+72+54-68+52-83-45+80)/4=0.5

10 Example 3

11 if each factor was replicated a different number of times: Each estimated effect is a difference between two averages: v(effect)=(1/8+1/8)s 2 =8/4=2 Standard error=sqrt(2)=1.4

12 Ejemplo 3

13


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