STATISTICAL METHODS FOR ENGINEERS (WITH CD-ROM) presents real engineering data and takes a truly modern approach to statistics. An engineering case study runs throughout the text and gives conceptual continuity through each chapter. The opening introduces you to the connection and the intimate link between statistical decision making and engineering.

Preface

ix

Overture: Engineering Method and Data Collection

1

(40)

Need for Statistical Methods in Engineering

1

(2)

Engineering Method and Statistical Thinking

3

(4)

Statistical Thinking and Structured Problem Solving

7

(2)

Models

9

(2)

Obtaining Data

11

(7)

Sampling

18

(4)

Basic Principles of Experimental Design

22

(5)

Examples of Engineering Experiments

27

(5)

Purpose of Engineering Statistics

32

(1)

Case Study: Manufacture of Writing Instruments

33

(1)

Ideas for Projects

34

(7)

References

34

(7)

Data Displays

41

(50)

Importance of Data Displays

41

(2)

Stem-and-Leaf Displays

43

(15)

Boxplots

58

(11)

Using Computer Software

69

(11)

Using Boxplots to Analyze Designed Experiments

80

(4)

Case Study

84

(4)

Need for Probability and Distributions

88

(1)

Ideas for Projects

89

(2)

References

89

(2)

Modeling Random Behavior

91

(82)

Probability

91

(10)

Random Variables and Distributions

101

(2)

Discrete Random Variables

103

(21)

Continuous Random Variables

124

(11)

The Normal Distribution

135

(8)

Random Behavior of Means

143

(11)

Random Behavior of Means When the Variance Is Unknown

154

(10)

Normal Approximation to the Binomial

164

(5)

Case Study

169

(4)

References

171

(2)

Estimation and Testing

173

(102)

Estimation

173

(14)

Hypothesis Testing

187

(22)

Inference for a Single Mean

209

(12)

Inference for Proportions

221

(7)

Inference for Two Independent Samples

228

(11)

The Paired t-Test

239

(10)

Inference for Variances

249

(11)

Transformations and Nonparametric Analyses

260

(8)

Case Study

268

(3)

Ideas for Projects

271

(4)

References

272

(3)

Control Charts

275

(88)

Overview

275

(17)

Specification Limits and Capability

292

(3)

X- and R-Charts

295

(17)

X- and s2-Charts

312

(9)

X-Chart

321

(8)

np-Chart

329

(6)

c-Chart

335

(6)

Average Run Lengths

341

(3)

Standard Control Charts with Runs Rules

344

(3)

CUSUM and EWMA Charts

347

(8)

Case Study

355

(5)

Ideas for Projects

360

(3)

References

361

(2)

Linear Regression Analysis

363

(90)

Relationships Among Data

363

(2)

Simple Linear Regression

365

(29)

Multiple Linear Regression

394

(18)

Residual Analysis

412

(26)

Collinearity Diagnostics

438

(8)

Case Study

446

(5)

Ideas for Projects

451

(2)

References

451

(2)

Introduction to 2k Factorial-Based Experiments

453

(64)

The 2 2 Factorial Design

453

(14)

The 2k Factorial Design

467

(22)

Half Fractions of the 2k Factorial

489

(23)

Case Study

512

(1)

Ideas for Projects

513

(4)

References

514

(3)

Introduction to Response Surface Methodology

517

(52)

Sequential Philosophy of Experimentation

517

(5)

Central Composite Designs

522

(15)

Multiple Responses

537

(10)

Experimental Designs for Quality Improvement

547

(17)

Case Study

564

(1)

Ideas for Projects

564

(5)

References

567

(2)

Coda

569

(6)

The Themes of This Course

569

(2)

Integrating the Themes

571

(2)

Statistics and Engineering

573

(2)

Appendix

575

(12)

Answers to Selected Exercises

587

(8)

Index

595

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