Copyright © 2012 Pearson Education, Inc. All rights reserved. Chapter 12 The Analysis of Variance...

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Transcript of Copyright © 2012 Pearson Education, Inc. All rights reserved. Chapter 12 The Analysis of Variance...

Copyright © 2012 Pearson Education, Inc. All rights reserved.

Chapter 12

The Analysis of Variance for Designed Experiments

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Section 12.1

Introduction

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Section 12.2

The Logic Behind an Analysis of Variance

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Figure 12.1 Plots of data for two samples

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Figure 12.2 Plots of data for two cases

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Section 12.3

One-Factor Completely Randomized Designs

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Figure 12.3 MINITAB Random assignments of workers to training programs

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Figure 12.4 Layout for a completely randomized design

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Figure 12.5 SAS regression printout for the completely randomized design in Example 12.4

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Figure 12.6 Rejection region for Example 12.4; numerator df = 2, denominator df =18, = .05

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Figure 12.7 Partitioning of SS(Total) for a completely randomized design

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Figure 12.8 MINITAB ANOVA printout for the completely randomized design, Example 12.5

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Section 12.4

Randomized Block Designs

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Figure 12.9 General form of a randomized block design (treatment is denoted by Tp)

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Figure 12.10 SAS regression printout for randomized block design complete model, Example 12.7

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Figure 12.11 SAS regression printout for randomized block design reduced model for testing treatments

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Figure 12.12 SAS regression printout for randomized block design reduced model for testing blocks

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Figure 12.13 Partitioning of the total sum of squares for the randomized block design

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Figure 12.14 SPSS ANOVA printout for randomized block design

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Section 12.5

Two-Factor Factorial Experiments

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Figure 12.15 Hypothetical plot of the means for the six machine-material combinations

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Figure 12.16 Testing guidelines for a two-factor factorial experiment

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Figure 12.17a SAS regression printout for complete factorial model

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Figure 12.17b SAS regression printout for reduced (main effects) factorial model

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Figure 12.18 Partitioning of the total sum of squares for a complete two-factor factorial experiment

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Figure 12.19a SAS ANOVA printout for complete factorial design

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Figure 12.19b MINITAB plot of profit means illustrating interaction

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Figure 12.20 SAS regression printout for complete factorial model with quantitative main effects

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Figure 12.21 SAS regression printout for reduced (second-order) factorial model

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Figure 12.22 SAS printout of confidence intervals for reduced (second-order) factorial model

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Section 12.6

More Complex Factorial Designs (Optional)

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Figure 12.23 SAS ANOVA printout for factorial 2 2 3

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Figure 12.24 SPSS ANOVA printout for Example 12.19

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Section 12.7

Follow-Up Analysis: Tukey’s Multiple Comparisons of Means

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Figure 12.25a SAS printout of Tukey’s multiple comparisons of means, Example 12.20

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Figure 12.25b MINITAB printout of Tukey’s multiple comparisons of means, Example 12.20

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Figure 12.25c SPSS printout of Tukey’s multiple comparisons of means, Example 12.20

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Figure 12.26 SAS ANOVA printout for Example 12.21

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Section 12.8

Other Multiple Comparisons Methods (Optional)

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Figure 12.27 SAS printout of Scheffe’s multiple comparisons of GPA means, Example 12.22

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Figure 12.28 SAS printout of Bonferroni’s multiple comparisons of GPA means, Example 12.23

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Section 12.9

Checking ANOVA Assumptions

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Figure 12.29 MINITAB histogram for all the GPAs in the completely randomized design

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Figure 12.30 MINITAB normal probability plot and normality test for all the GPAs in the completely randomized design

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Figure 12.31 MINITAB dot plots for the GPAs in the completely randomized design, by treatment group

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Figure 12.32 MINITAB printout of tests for homogeneity of GPA variances for the completely randomized design