Applied Statistics and Probability for Engineers

(Chris Devlin) #1
468

13-1 DESIGNING ENGINEERING
EXPERIMENTS
13-2 THE COMPLETELY RANDOMIZED
SINGLE-FACTOR EXPERIMENT
13-2.1 An Example
13-2.2 The Analysis of Variance
13-2.3 Multiple Comparisons Following
the ANOVA
13-2.4 More About Multiple
Comparisons (CD Only)
13-2.5 Residual Analysis and Model
Checking
13-2.6 Determining Sample Size
13-2.7 Technical Details About the
Analysis of Variance (CD Only)

13-3 THE RANDOM EFFECTS MODEL
13-3.1 Fixed Versus Random Factors
13-3.2 ANOVA and Variance
Components
13-3.3 Determining Sample Size in the
Random Model (CD Only)
13-4 RANDOMIZED COMPLETE BLOCK
DESIGN
13-4.1 Design and Statistical Analysis
13-4.2 Multiple Comparisons
13-4.3 Residual Analysis and Model
Checking
13-4.4 Randomized Complete Block
Design with Random Factors
(CD Only)

13


CHAPTER OUTLINE

LEARNING OBJECTIVES

After careful study of this chapter, you should be able to do the following:


  1. Design and conduct engineering experiments involving a single factor with an arbitrary number
    of levels

  2. Understand how the analysis of variance is used to analyze the data from these experiments

  3. Assess model adequacy with residual plots

  4. Use multiple comparison procedures to identify specific differences between means

  5. Make decisions about sample size in single-factor experiments

  6. Understand the difference between fixed and random factors

  7. Estimate variance components in an experiment involving random factors


Design and Analysis

of Single-Factor

Experiments: The

Analysis of Variance

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