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Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Chapter 15 2 k Factorial Experiments and Fractions

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Copyright © 2010 Pearson Addison-Wesley. All rights reserved.

Chapter 15

2k Factorial Experiments and Fractions

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Section 15.1

Introduction

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Section 15.2

The 2k Factorial: Calculation of Effects and Analysis of Variance

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Table 15.1 A 22 Factorial Experiment

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Figure 15.1 Response suggesting apparent interaction

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Table 15.2 22 Factorial with No Interaction

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Table 15.3 22 Factorial with Interaction

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Figure 15.2 Interaction plot for data of Table 15.2

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Figure 15.3 Interaction plot for data of Table15.3

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Table 15.4 Signs for Contrasts in a 22 Factorial Experiments

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Table 15.5 Signs for Contrasts in a 23 Factorial Experiment

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Figure 15.4 Geometric view of 23

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Section 15.3

Nonreplicated 2k Factorial Experiment

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Table 15.6 Data for Case Study 15.1

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Figure 15.5 Normal quantile-quantile plot of effects for Case Study 15.1

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Table 15.7 Illustration of Two-Factor Interaction

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Figure 15.6 Interaction plot for Case Study 15.1

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Figure 15.7 SAS printout for data of Case Study 15.1

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Figure 15.8 ANOVA table for Exercise 15.3

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Section 15.4

Factorial Experiments in a Regression Setting

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Table 15.8 Data for Example 15.2

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Figure 15.9 SAS printout for data of Case Study 15.2

continued on next slide

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Figure 15.9 SAS printout for data of Case Study 15.2 (cont’d)

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Section 15.5

The Orthogonal Design

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Figure 15.10a Geometric presentation of contrast for the 23 factorial design

continued on next slide

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Figure 15.10b Geometric presentation of contrast for the 23 factorial design (cont’d)

continued on next slide

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Figure 15.10c Geometric presentation of contrast for the 23 factorial design (cont’d)

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Figure 15.11 A 22 design with center runs

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Figure 15.12 22 factorial with 5 center runs

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Figure 15.13 22 factorial with runs at (0,0)

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Figure 15.14 Graph Exercise 15.17

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Section 15.6

Fractional Factorial Experiments

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Table 15.9 Contrasts for the Seven Available Effects for a 23 Factorial Experiment

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Figure 15.15 The fractions of the 23 factorial

1

2

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Table 15.10 Construction of the Two 23 -1 Designs

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Table 15.11 Construction of the Two 24-1 Designs

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Table 15.12 A 26-2 Design

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Section 15.7

Analysis of Fractional Factorial Experiments

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Table 15.13 Signs for Contrasts in a Half-Replicate of a 23 Factorial Experiments

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Table 15.14 Data for Example 15.6

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Table 15.15 Analysis of Variance for the Data of a Half-Replicate of a 25 Factorial Experiment

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Section 15.8

Higher Fractions and Screening Designs

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Definition 15.1

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Section 15.9

Construction of Resolution III and IV Designs with 8,16,and 32 Design Points

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Table 15.16 Some Resolution III, IV, V, VI and VII 2k-p Designs

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Section 15.10

Other Two-Level Resolutions III Designs; The Plackett-Burman Designs

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Section 15.11

Introduction to Response Surface Methodology

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Table 15.17 Central Composite Design for Example 15.8

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Figure 15.16 Central composite design for Example 15.8

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Figure 15.17 Plot for the response surface prediction conversion for Example 15.8

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Figure 15.18 Contour plot of predicted conversion for Example 15.8

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Section 15.12

Robust Parameter Design

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Definition 15.2

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Table 15.18 Design for Example 15.9

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Table 15.19 Control Factors for Case Study 15.3

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Table 15.20 Noise Factors for Case Study 15.3

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Table 15.21 Crossed Arrays and Response Values for Case Study 15.3

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Figure 15.19 Plot showing the influence of factors on the mean response

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Figure 15.20 Mean and standard deviation for Case Study 15.4

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Table 15.22 Experimental Data in a Crossed Array

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Figure 15.21 Interaction plots for the data in Table 15.22

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Figure 15.22 Interaction plots for the data in Exercise 15.31

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Potential Misconceptions and Hazards; Relationship to Material in Other Chapters

Section 15.13