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Probability statistics for engineers and scientists 9th by walpole myers chapter 13

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Copyright © 2010 Pearson Addison-Wesley.. Copyright © 2010 Pearson Addison-Wesley.. Copyright © 2010 Pearson Addison-Wesley.. 13 - 3 Table 13.1 Absorption of Moisture in Concrete Aggreg

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Chapter 13

One-Factor

Experiments:

General

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Section 13.1

Analysis-of-Variance

Technique

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Table 13.1 Absorption of Moisture

in Concrete Aggregates

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Section 13.2

The Strategy of Experimental

Design

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Table 13.2 k Random Samples

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Theorem 13.1

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Theorem 13.2

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Table 13.3 Analysis of Variance

for the One-Way ANOVA

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Figure 13.1 SAS output for the

analysis-of-variance procedure

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Figure 13.2 Box-plots for the

absorption of moisture in concrete

aggregates

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Table 13.4 Serum Alkaline

Phosphatase Activity Level

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Figure 13.3 MINITAB analysis of

data in Table 13.4

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Section 13.4

Tests for the

Equality of

Several Variances

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Section 13.5

Single-Degree-of Freedom

Comparisons

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Definition 13.1

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Definition 13.2

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Table 13.5 Analysis of Variance

Using Orthogonal Contrasts

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Section 13.6

Multiple

Comparisons

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Figure 13.4 A set of orthogonal

contrasts

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Table 13.6 Yield of Reaction

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Figure 13.5 SAS printout for

Exercise 13.21

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Section 13.7

Comparing a Set

of Treatments in Blocks

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Section 13.8

Randomized

Complete Block Designs

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Table 13.7 k b Array for the RCB

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Theorem 13.3

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Table 13.8 Analysis of Variance for the

Randomized Complete Block Design

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Table 13.9 Time, in Seconds, to

Assemble Product

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Table 13.10 Analysis of Variances

for the Data of Table 13.9

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Figure 13.6 Population means for (a)

additive results and (b) interacting

effects

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Section 13.9

Graphical

Methods and

Model Checking

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Figure 13.7 Plot of data around the mean

for the aggregate data of Table 13.1

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Figure 13.8 Plot of residuals for five

aggregates, using data in Table 13.1

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Figure 13.9 Residual plot for the four

machines for the data of Example 13.6

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Figure 13.10 Residual plot for the six

operators for the data of Example 13.6

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Figure 13.11 Residuals plotted against

fitted values for the data of Example 13.6

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Section 13.11

Random Effects Models

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Theorem 13.4

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Table 13.11 Expected Mean Squares

for the One-Factor Experiment

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Table 13.12 Data for Example

13.7

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Table 13.13 Analysis of Variance

for Example 13.7

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Table 13.14 Expected Mean Squares for

the Randomized Complete Block Design

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Section 13.12

Case Study

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Figure 13.12 Interaction plot for

data of Case Study 13.1

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Figure 13.13 Plot of residuals against

method for data of Case Study 13.1

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Figure 13.14 Normal probability plot of

residuals for data the of Case Study 13.1

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Figure 13.15 SAS printout for

data of Case Study 13.1

continued on next slide

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Figure 13.15 SAS printout for

data of Case Study 13.1 (cont’d)

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Figure 13.16 SAS printout for

Review Exercise 13.49

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Figure 13.17 SAS printout for

Review Exercise 13.50

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Potential

Misconceptions and Hazards;

Relationship to

Material in Other Chapters

Section 13.13

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