Applied Statistics for Engineers and Scientists: Using Microsoft Excel and Minitab

Front Cover
Prentice Hall, 2001 - Computers - 671 pages
0 Reviews

This applied book for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software complete this treatment of statistics. Chapter topics include describing and summarizing data; probability and discrete probability distributions; continuous probability distributions and sampling distributions; process control charts; estimation procedures; hypothesis testing; the design of experiments; and simple linear and multiple regression models. For individuals interested in learning statistics–without a high level of mathematical sophistication.

Please Note:

The CD-ROM originally included is no longer available. However, the data files can be downloaded at www.prenhall.com/sincich. And the PHStat2 content can be purchased standalone.

From inside the book

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Introduction to Statistics and Quality Improvement
1
Tables and Charts
44
Describing and Summarizing Data
103
Copyright

14 other sections not shown

Other editions - View all

Common terms and phrases

About the author (2001)

David M. Levine is one of the world's leading innovators in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including "Statistics for Managers using Microsoft Excel, Quality Management," and "Six Sigma for Green Belts and Champions,"

Instructional designer David F. Stephan pioneered the classroom use of technology, and is a leader in making Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine.

Robert K. Smidt earned a B.S. in mathematics from Manhattan College, an M.S. in statistics from Rutgers University, and a Ph.D. in statistics from the University of Wyoming. Dr. Smidt has taught at the University of Florida, University of Wyoming, Rutgers University, Oregon State University, Cuesta College, Fashion Institute of Technology, for LaVerne College at Vandenberg AFB, for Chapman College at the California Mens Colony, and for the Continuing Education Institute. He is currently professor and former chair of the Statistics Department at Cal Poly, San Luis Obispo, California. Dr. Smidt has broad statistical consulting experience. He has worked for or with the Department of Defense at the Pentagon, Lawrence Livermore National Laboratory, Tenera, Diablo Canyon Nuclear Power Plant, Bechtel Power Corporation, Cogimet, Lindamood-Bell Leaning Processes, Fred Streit Associates, Division of Business and Economic Research of the University of Wyoming, County of San Luis Obispo, and the California State Water Resources Control Board. He helped establish the university-wide statistical consulting service at Cal Poly and has extensive consulting experience within the university. Dr. Smidt has contributed to journals such as Biometrics, Journal of Clinical Neuropsychology, Medical Anthropology, Journal of the Lepidopterists' Society, and American Journal of Orthodontics and Dentofacial Orthopedics, and to collections such as Statistical Case Studies, A Collaboration Between Academe and Industry and Familias y relaciones de genero en transformacion.

Bibliographic information