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Engineering Statistics and Applications

Copyright © October 10, 2023 by Robert Wayne Atkins, P.E.
All Rights Reserved.

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ISBN: 978-1737068099
Type of Book: Paperback
Book Size: 6 inches by 9 inches
Number of Pages: 188
Normal Price: $14.95


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Book Description on Amazon.com

This book contains a complete but concise explanation of all the important topics that are important in the application of engineering statistics. It discusses histograms, scatter diagrams, probability theory, basic statistics (mean, standard deviation, skewness, and kurtosis), discrete probability distributions, continuous probability distributions, simple linear regression, reliability, queuing theory, confidence intervals, hypothesis tests, ANOVA, and statistically designed experiments.

This book will help an engineer select and use the correct type of statistics to analyze whatever process or system the engineer is investigating.

This book was written specifically for industrial, systems, quality, mechanical, electrical, and chemical engineers, and for land surveyors. However, this book would also be extremely valuable to anyone who wanted to clearly understand the basic concepts of statistics.

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Preface to
Engineering Statistics and Applications

This book does not contain the academic rigor of the normal college textbook. This book was written to assist an individual correctly apply the statistical concepts that are commonly used by engineers. This book uses simple English to explain the topics in each chapter and a college degree in engineering or a degree in mathematics is not necessary in order to be able to understand and master the statistical concepts presented in this book.

From 1984 to 2021 I taught engineering and management courses as a full-time Professor at a major state university. While teaching I also worked part-time as an Engineering Consultant for dozens of organizations such as: Alemite Corp., Amoco, Anheuser-Busch, Bartow County Bank, Boeing Commercial Aircraft, Ciba-Vision, Consolidated Groceries, Delta Airlines, Equifax, EMS Inc., FedEx, General Motors, Georgia Marble, Georgia Power, Healthcare Atlanta, Herman Miller Furniture, Home Depot, Lockheed Martin Aeronautics Company, Marta, Motorola, Nationwide Credit, Porex, Scientific Atlanta, Scovill Fasteners, Siemens, Southern Mills, Southwire, U.S. Can, U.S. Navy, Wayne Farms, and ZF Industries.

Based on my life experiences I intimately understand the difference between academic knowledge and the knowledge required by an engineer who earns a living with both feet on the ground in a manufacturing or service organization.

Most college textbooks include proofs and derivations for all the equations presented in the textbook in order to satisfy and convince a student that the equation is valid and the equation can be trusted to yield the correct answer for which it was designed. Textbooks also include all the nuances and minor issues associated with a topic in order to fully and completely educate the student about all the aspects of the topic.

Academic rigor requires a student to separate the really important concepts they will be required to use correctly and frequently to do their jobs from all the non-essential information included in the textbook, such as case studies and examples of situations that only one student in 1,000 may encounter once during his or her entire lifetime.

This book focuses on the statistical concepts an engineer will be required to use on a regular basis in order to be successful in his or her professional career. No proofs or derivations are provided in this book. Anyone interested in a proof or derivation can easily find that information at a variety of websites by doing a simple internet search.

Respectfully,
Robert Wayne Atkins, P.E.
October 2, 2023

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Table of Contents

Chapter		Page
1	Introduction to Engineering Statistics	1
2	Computer Systems and Computer Software	5
3	Histograms	9
4	Scatter Diagrams	13
5	Basic Math, Algebra, Geometry, Trigonometry	17
6	Probability Theory	25
7	Basic Statistics	31
8	Discrete Probability Distributions	37
9	Continuous Probability Distributions	47
10	Minimum Sample Size	63
11	Simple Linear Regression	67
12	Reliability	77
13	Queuing Theory	91
14	Confidence Intervals	99
15	Introduction to Hypothesis Tests	109
16	Hypothesis Tests for Proportions or Percentages	121
17	Hypothesis Tests for Averages	129
18	Hypothesis Tests for Variability	137
19	ANOVA: Analysis of Variance	145
20	Statistically Designed Experiments	151
21	The Potential Impact of Engineering Statistics	159
	Appendix: Reference Tables	169
	Index	181
	About the Author	184

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Grandpappy's e-mail address is: RobertWayneAtkins@hotmail.com