Basic Engineering Data Collection and Analysis

Front Cover
Stephen Vardeman and J. Marcus Jobe's motivating new book is appropriate for students in introductory engineering statistics courses, including chemical, mechanical, environmental, civil, electrical, and industrial. The authors stress the practical issues in data collection and the interpretation of the results of statistical studies over mathematical theory. Using real data and scenario examples along with chapter-long case studies to teach readers how to apply statistical methods, the book clearly and patiently helps students learn to solve engineering problems. The book's practical, applied approach encourages students to "do" statistics by carrying data collection and analysis projects all the way from problem formulation to preparation of professional technical reports.

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Contents

Introduction
1
Data Collection
26
Elementary Descriptive Statistics
66
47
67
n Q c Q Q o o OOOIOIIIIIOIIIIIIOQUUOQQIIIOIIIIOOOIOIIIOIIOOIIIIII000O0OOOO00IIOOIIIIIIOOIOIOOIIOOOIOIOO i
221
5
265
Introduction to Formal Statistical Inference
334
6
375
Inference for Unstructured Multisample Studies
443
Shewhart Control Charts for Qualitative and Count Data
518
Inference for Full and Fractional Factorial Studies
546
Regression AnaIysisInference for Curve
650
Inference Methods for General Least Squares Curve
675
A 1
727
A 2
734
A 4
741

About the author (2001)

Steve Vardeman is a Professor of Statistics and Industrial Engineering at IowaState University. He holds a 1975 Ph.D. in Statistics from Michigan StateUniversity and B.S. and M.S. degrees in Mathematics from Iowa State. He is aFellow of the American Statistical Association, an elected Ordinary Member ofthe International Statistical Institute, a Senior Member of the AmericanSociety for Quality and is a member of both the American Society forEngineering Education and the Institute of Mathematical Statistics. His bookStatistics for Engineering Problem Solving won the 1994 ASEE Meriam-WileyDistinguished Author Award for an outstanding new engineering textbook, he isco-author of Statistical Quality Assurance Methods for Engineers, and the ISUCollege of Liberal Arts and Sciences has recognized him for outstandingteaching. He was Editor of Technometrics from 1993 to 1995 and both hisresearch and teaching interests revolve around the engineering applications ofstatistics.

John Marcus Jobe currently teaches in the Department of Decision Sciences and Management Information Systems at the University of Ohio, where he teaches courses in business statistics, regression, statistical quality control, design of experiments in business, multivariate methods in business, and industrial statistics. Research focuses on quality improvement, regression, and application of designed experiments. Dr. Jobe holds a bachelor's degree from Central State University (1977), a masters of science degree from Oklahoma State University (1979), and a Ph.D. from Iowa State University (1984). He is the recipient of many distinguished research and teaching honors, including being named a Senior Fulbright Scholar, Kiev State University of Trade and Economics, Kiev, Ukraine, 1996-97. He also received the Outstanding Teaching Award, Miami University, All University Award in1995, and a NASA Research Fellowship in 1991 and 1992. In 1986 and 1987, he was recognized by the Air-Force Office of Scientific Research (AFOSR). He is the author of many papers and research articles, and served as co-author on another text with Steve Vardeman, STATISTICAL QUALITY IMPROVEMENT METHODS FOR ENGINEERS, published by John Wiley & Sons, 1998.

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