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Statistical Methods for Engineers 3rd Edition

G. Geoffrey Vining, Scott Kowalski

  • Published
  • Previous Editions 2006, 1998
  • 648 Pages


STATISTICAL METHODS FOR ENGINEERS offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems with real data based on actual journals and consulting experience in the field, students see how statistics fits within the methods of engineering problem solving. The text teaches students how to think like an engineer at analyzing real data and planning a project the same way they will in their careers. Case studies simulate problems students will encounter professionally and tackle on long-term job projects. The presentation makes extensive use of graphical analysis, and use of statistical software is encouraged for problem-solving to illustrate how engineers rely on computers for data analysis. The authors relate their own extensive professional experience as engineers in short margin notes called Voice of Experience that lend valuable context to how students will apply concepts in the field and why they’re important to learn. And a rich companion website provides hours of multimedia lecture presentation narrated by the authors to show the material related live by different voices, simulating how students will listen and learn from multiple colleagues in their jobs. A flexible organization allows instructors to emphasize the topics they need and cater the presentation to different engineering majors in their courses.

G. Geoffrey Vining, Virginia Polytechnic Institute and State University

Dr. Geoffrey Vining received his Ph.D. from Virginia Tech., Blacksburg. He is a Professor and Department Head in the Statistics Department at Virginia Tech. He also served on the faculty of the Statistics Department at the University of Florida, Gainesville, as a practicing engineer with the Faber-Castell Corporation and as an industrial consultant.

Scott Kowalski, Minitab, Inc.

Dr. Scott Kowalski received his Ph.D. from the University of Florida, Gainesville. He works as a Technical Trainer at Minitab, Inc. where he mentors Minitab's International Partners on their training efforts and teaches statistics to corporations in the United States, Asia and Australia. Prior to joining Minitab he taught at Stetson University and University of Central Florida. Dr. Kowalski is a Senior Member of ASQ, a member of the American Statistical Association, an Associate Editor for Quality Technology and Quantitative Management, and serves on the Editorial Review Board for the Journal of Quality Technology and Quality Engineering. Along with co-author Geoffrey Vining he was awarded the 2005 Nelson Award winner for paper with the "greatest immediate impact to practitioners" by the Journal of Quality Technology.
  • Innovative new multimedia lecture presentations on the companion website present a full semester's course with audio lectures delivered by the authors and backed by slides that summarize key concepts. These presentations provide a different source for in-class lectures and self-study, and give valuable additional help to students who need more guidance.
  • The chapter on Control Charts and Statistical Process Control contains expanded coverage of process capability and a new formal section on process capability indices in industry. New coverage of measurement systems analysis, introduction to the concept of reliability for life time data, and Box-Behnken design have been added.
  • Exercises throughout the text are refreshed to include the latest data, with new exercises added where appropriate to further emphasize real data.
  • Additional Voice of Experience margin notes are included to enhance the utility of this popular feature.
  • Most examples and exercises in the text use real engineering data taken from actual engineering journals and consulting experience, emphasizing good data analysis in specific engineering settings. Whenever possible, the text shows the full engineering context of these problems.
  • Voice of Experience margin notes provide snippets from the authors' own experience as engineers about the proper application of statistics within engineering, lending students important career-related context to the material.
  • The text relies on the computer to do calculations, emphasizing the computer-based data analysis students will do in their careers. The book is independent of any specific software package and can be used with Microsoft® Excel, MINITAB®, JMP®, STATA®, and others.
  • Well over 500 exercises at the end of each section provide extensive practice that test students' general understanding of concepts and procedures, with focus on analyzing real engineering data. Separate sets of computer exercises require statistical software for computer practice on applying concepts, performing calculations, interpreting results, and doing deeper analysis of real data.
  • An instructive engineering case study concludes each chapter, designed to illustrate the complex statistical decisions that need to be made to maintain the quality, consistency, and effectiveness of the process. The chapters also present ideas for small student projects complementing homework assignments, designed to simulate the way real engineers are asked to plan, execute, and interpret experiments.
Need for Statistical Methods in Engineering. Engineering Method and Statistical Thinking. Statistical Thinking and Structured Problem Solving. Models. Obtaining Data. Sampling. Basic Principles of Experimental Design. Examples of Engineering Experiments. Purpose of Engineering Statistics. Case Study: Manufacture of Writing Instruments. Ideas for Projects References.
Importance of Data Displays. Stem-and-Leaf Displays. Boxplots. Using Computer Software. Using Boxplots to Analyze Designed Experiments. Case Study. Need for Probability and Distributions. Ideas for Projects References.
Probability. Random Variables and Distributions. Discrete Random Variables. Continuous Random Variables. The Normal Distribution. Random Behavior of Means. Random Behavior of Means When the Variance Is Unknown. Normal Approximation to the Binomial. The Weibull Distribution for Reliability Applications. Case Study References.
Estimation. Hypothesis Testing. Inference for a Single Mean. Inference for a Single Proportion. Inference for Two Independent Samples. The Paired t-Test. Inference for Two Proportions. Inference for Variances. Transformations and Nonparametric Analyses. Case Study. Ideas for Projects References.
Overview. Specification Limits. X- and R-Charts. X- and s²-Charts. X-Chart. np-Chart. c-Chart. Average Run Lengths. Standard Control Charts with Runs Rules. CUSUM and EWMA Charts. Basic Process Capability Indices. The SPC Approach to Gage R Studies. Case Study. Ideas for Projects References.
Relationships Among Data. Simple Linear Regression. Multiple Linear Regression. Residual Analysis. Collinearity Diagnostics. Case Study. Ideas for Projects References.
The 2² Factorial Design. The 2k Factorial Design. Fractions of the 2k Factorial Design. Case Study. Ideas for Projects References.
Sequential Philosophy of Experimentation. Central Composite Designs. Box-Behnken Designs. Multiple Responses. Experimental Designs for Quality Improvement. Case Study. Ideas for Projects References.
9. CODA.
The Themes of This Course. Integrating the Themes. Statistics and Engineering.

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  • ISBN-10: 1133385605
  • ISBN-13: 9781133385608
  • STARTING AT $18.99

  • STARTING AT $31.49

  • ISBN-10: 053873518X
  • ISBN-13: 9780538735186
  • Bookstore Wholesale Price $150.00
  • RETAIL $199.95

Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.


Solution Builder

ISBN: 9780538739238
Offers fully worked instructor solutions to all exercises in the text in customizable online format. Adopting instructors can sign up for access at

Student Solutions Manual

ISBN: 9780538738804
Contains fully worked solutions to all odd-numbered exercises in the text.


Student Solutions Manual

ISBN: 9780538738804
Contains fully worked solutions to all odd-numbered exercises in the text.