Statistical Methods for Engineers (with CD-ROM),9780534384739

Statistical Methods for Engineers (with CD-ROM)

by ;
Edition: 2nd
ISBN13: 9780534384739
ISBN10: 0534384730
Format: Hardcover
Pub. Date: 2005-07-08
Publisher(s): Duxbury Press
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Summary

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.

Table of Contents

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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