Statistics and Probability with Applications for Engineers and Scientists

Author: Bhisham C. Gupta,Irwin Guttman

Publisher: John Wiley & Sons

ISBN: 1118522206

Category: Mathematics

Page: 896

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Introducing the tools of statistics and probabilityfrom the ground up An understanding of statistical tools is essential for engineersand scientists who often need to deal with data analysis over thecourse of their work. Statistics and Probability withApplications for Engineers and Scientists walks readers througha wide range of popular statistical techniques, explainingstep-by-step how to generate, analyze, and interpret data fordiverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probabilitywith Applications for Engineers and Scientists coversdescriptive statistics first, then goes on to discuss thefundamentals of probability theory. Along with case studies,examples, and real-world data sets, the book incorporates clearinstructions on how to use the statistical packages Minitab®and Microsoft® Office Excel® to analyze various datasets. The book also features: • Detailed discussions on sampling distributions,statistical estimation of population parameters, hypothesistesting, reliability theory, statistical quality control includingPhase I and Phase II control charts, and process capabilityindices • A clear presentation of nonparametric methods andsimple and multiple linear regression methods, as well as a briefdiscussion on logistic regression method • Comprehensive guidance on the design of experiments,including randomized block designs, one- and two-way layoutdesigns, Latin square designs, random effects and mixed effectsmodels, factorial and fractional factorial designs, and responsesurface methodology • A companion website containing data sets for Minitaband Microsoft Office Excel, as well as JMP ® routines andresults Assuming no background in probability and statistics,Statistics and Probability with Applications for Engineers andScientists features a unique, yet tried-and-true, approach thatis ideal for all undergraduate students as well as statisticalpractitioners who analyze and illustrate real-world data inengineering and the natural sciences.

Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists

Author: Bhisham C. Gupta,Irwin Guttman

Publisher: John Wiley & Sons

ISBN: 1118789768

Category: Mathematics

Page: 376

View: 722

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A solutions manual to accompany Statistics andProbability with Applications for Engineersand Scientists Unique among books of this kind, Statistics and Probabilitywith Applications for Engineers and Scientists coversdescriptive statistics first, then goes on to discuss thefundamentals of probability theory. Along with case studies,examples, and real-world data sets, the book incorporates clearinstructions on how to use the statistical packages Minitab®and Microsoft® Office Excel® to analyze various datasets. The book also features: Detailed discussions on sampling distributions, statisticalestimation of population parameters, hypothesis testing,reliability theory, statistical quality control including Phase Iand Phase II control charts, and process capability indices A clear presentation of nonparametric methods and simple andmultiple linear regression methods, as well as a brief discussionon logistic regression method Comprehensive guidance on the design of experiments, includingrandomized block designs, one- and two-way layout designs, Latinsquare designs, random effects and mixed effects models, factorialand fractional factorial designs, and response surfacemethodology A companion website containing data sets for Minitab andMicrosoft Office Excel, as well as JMP ® routines andresults Assuming no background in probability andstatistics, Statistics and Probability with Applicationsfor Engineers and Scientists features a unique, yettried-and-true, approach that is ideal for all undergraduatestudents as well as statistical practitioners who analyze andillustrate real-world data in engineering and the naturalsciences.

Even You Can Learn Statistics

A Guide for Everyone Who Has Ever Been Afraid of Statistics

Author: David M. Levine,David F. Stephan

Publisher: FT Press

ISBN: 9780137025930

Category: Business & Economics

Page: 384

View: 7170

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Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statisticsi s a practical, up-to-date introduction to statistics—for everyone! Thought you couldn’t learn statistics? You can—and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional “Equation Blackboard” sections reveal the mathematical foundations of statistics right before your eyes! You’ll learn how to: • Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3 • Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics • Use probability and probability distributions • Work with sampling distributions and confidence intervals • Test hypotheses with Z, t, chi-square, ANOVA, and other techniques • Perform powerful regression analysis and modeling • Use multiple regression to develop models that contain several independent variables • Master specific statistical techniques for quality and Six Sigma programs About the Web Site Download practice files, templates, data sets, and sample spreadsheet models—including ready-to-use solutions for your own work! www.ftpress.com/youcanlearnstatistics2e

Even You Can Learn Statistics and Analytics

An Easy to Understand Guide to Statistics and Analytics

Author: David M. Levine,David F. Stephan

Publisher: FT Press

ISBN: 0133382680

Category: Business & Economics

Page: 384

View: 7688

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Thought you couldn’t learn statistics? You can – and you will! Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics – for everyone! Now fully updated for "big data" analytics and the newest applications, it'll teach you all the statistical techniques you’ll need for finance, marketing, quality, science, social science, and more – one easy step at a time. Simple jargon-free explanations help you understand every technique, and extensive practical examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than ever – all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models – including complete solutions you can put right to work! Learn how to do all this, and more: Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3 Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses with Z, t, chi-square, ANOVA, and other techniques Perform powerful regression analysis and modeling Use multiple regression to develop models that contain several independent variables Master specific statistical techniques for quality and Six Sigma programs Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional "Equation Blackboard" sections reveal the mathematical foundations of statistics right before your eyes. If you need to understand, evaluate, or use statistics in business, academia, or anywhere else, this is the book you've been searching for!

Encyclopedia of Operations Research and Management Science

Author: Saul I. Gass,Carl M. Harris

Publisher: Springer Science & Business Media

ISBN: 1461304598

Category: Business & Economics

Page: 753

View: 5176

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Operations Research: 1934-1941," 35, 1, 143-152; "British The goal of the Encyclopedia of Operations Research and Operational Research in World War II," 35, 3, 453-470; Management Science is to provide to decision makers and "U. S. Operations Research in World War II," 35, 6, 910-925; problem solvers in business, industry, government and and the 1984 article by Harold Lardner that appeared in academia a comprehensive overview of the wide range of Operations Research: "The Origin of Operational Research," ideas, methodologies, and synergistic forces that combine to 32, 2, 465-475. form the preeminent decision-aiding fields of operations re search and management science (OR/MS). To this end, we The Encyclopedia contains no entries that define the fields enlisted a distinguished international group of academics of operations research and management science. OR and MS and practitioners to contribute articles on subjects for are often equated to one another. If one defines them by the which they are renowned. methodologies they employ, the equation would probably The editors, working with the Encyclopedia's Editorial stand inspection. If one defines them by their historical Advisory Board, surveyed and divided OR/MS into specific developments and the classes of problems they encompass, topics that collectively encompass the foundations, applica the equation becomes fuzzy. The formalism OR grew out of tions, and emerging elements of this ever-changing field. We the operational problems of the British and U. s. military also wanted to establish the close associations that OR/MS efforts in World War II.

Introduction to Industrial Engineering

Author: Avraham Shtub,Yuval Cohen

Publisher: CRC Press

ISBN: 1498706029

Category: Technology & Engineering

Page: 408

View: 4817

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A Firsthand Look at the Role of the Industrial Engineer The industrial engineer helps decide how best to utilize an organization’s resources to achieve company goals and objectives. Introduction to Industrial Engineering, Second Edition offers an in-depth analysis of the industrial engineering profession. While also providing a historical perspective chronicling the development of the profession, this book describes the standard duties performed, the tools and terminologies used, and the required methods and processes needed to complete the tasks at hand. It also defines the industrial engineer’s main areas of operation, introduces the topic of information systems, and discusses their importance in the work of the industrial engineer. The authors explain the information system concept, and the need for integrated processes, supported by modern information systems. They also discuss classical organizational structures (functional organization, project organization, and matrix organization), along with the advantages and disadvantages of their use. The book includes the technological aspects (data collection technologies, databases, and decision-support areas of information systems), the logical aspects (forecasting models and their use), and aspects of principles taken from psychology, sociology, and ergonomics that are commonly used in the industry. What’s New in this Edition: The second edition introduces fields that are now becoming a part of the industrial engineering profession, alongside conventional areas (operations management, project management, quality management, work measurement, and operations research). In addition, the book: Provides an understanding of current pathways for professional development Helps students decide which area to specialize in during the advanced stages of their studies Exposes students to ergonomics used in the context of workspace design Presents key factors in human resource management Describes frequently used methods of teaching in the field Covers basic issues relative to ergonomics and human–machine interface Introduces the five basic processes that exist in many organizations Introduction to Industrial Engineering, Second Edition establishes industrial engineering as the organization of people and resources, describes the development and nature of the profession, and is easily accessible to anyone needing to learn the basics of industrial engineering. The book is an indispensable resource for students and industry professionals.

Mechanical Engineering

The Journal of the American Society of Mechanical Engineers

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Mechanical engineering

Page: N.A

View: 3557

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A Guide to Six Sigma and Process Improvement for Practitioners and Students

Foundations, DMAIC, Tools, Cases, and Certification

Author: Howard S. Gitlow,Richard J. Melnyck,David M. Levine

Publisher: FT Press

ISBN: 0133925455

Category: Business & Economics

Page: 480

View: 4882

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Master modern Six Sigma implementation with the most complete, up-to-date guide for Green Belts, Black Belts, Champions and students! Now fully updated with the latest lean and process control applications, A Guide to Lean Six Sigma and Process Improvement for Practitioners and Students, Second Edition gives you a complete executive framework for understanding quality and implementing Lean Six Sigma. Whether you're a green belt, black belt, champion, or student, Howard Gitlow and Richard Melnyck cover all you need to know. Step by step, they systematically walk you through the five-step DMAIC implementation process, with detailed examples and many real-world case studies. You'll find practical coverage of Six Sigma statistics and management techniques, from dashboards and control charts to hypothesis testing and experiment design. Drawing on their extensive experience consulting on Six Sigma and leading major Lean and quality initiatives, Gitlow and Melnyck offer up-to-date coverage of: What Six Sigma can do, and how to manage it effectively Six Sigma roles, responsibilities, and terminology Running Six Sigma programs with Dashboards and Control Charts Mastering each DMAIC phase: Define, Measure, Analyze, Improve, Control Understanding foundational Six Sigma statistics: probability, probability distributions, sampling distributions, and interval estimation Pursuing Six Sigma Champion or Green Belt Certification, and more This guide will be an invaluable resource for everyone who is currently involved in Six Sigma implementation, or plans to be. It's ideal for students in quality programs; "Green Belts" who project manage Six Sigma implementations, "Black Belts" who lead Six Sigma teams; "Champions" who promote and coordinate Six Sigma at the executive level; and anyone seeking Six Sigma certification.

Management Science

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Industrial management

Page: N.A

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Issues for Feb. 1965-Aug. 1967 include Bulletin of the Institute of Management Sciences.

Operations Research

Einführung

Author: Frederick S. Hillier,Gerald J. Liebermann

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3486792083

Category: Business & Economics

Page: 868

View: 6212

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Aus dem Vorwort der Autoren: “ bereits in früheren Auflagen sind uns auch bei dieser Auflage der Motivationscharakter und die Einfachheit der Ausführungen wichtiger als exakte Beweise und technische Freiheiten. Wir glauben, dass die vorliegende Auflage für den praxisorientierten Studenten, auch ohne große mathematische Kenntnisse, attraktiver und besser lesbar geworden ist. Dennoch sind wir der Meinung, dass die Theorie der Operations Research nur von der mathematischen Seite her wirklich verstanden und gewürdigt werden kann. Es ist daher auch die fünfte Auflage nach wie vor an den gleichen Leserkreis wie die früheren Auflagen gerichtet, an die Studenten verschiedenster Fachrichtungen (Ingenieurswesen, Wirtschafts- und Sozialwissenschaften sowie mathematische Wissenschaften), die sich manchmal angesichts des riesigen Wortschwalls ihrer Studiengebiete nach einem bißchen mathematischer Klarheit sehnen. Die einzelnen Kapitel lassen sich auf vielfältige Art und Weise zu Kursen oder zum Selbststudium zusammenstellen, da das Buch sehr flexibel angelegt ist. Teil eins liefert eine Einführung in die Thematik des Operations Research. Teil zwei (über lineare Programmierung) und auch Teil drei (über mathematische Programmierung) lassen sich unabhängig von Teil vier (über stochastische Modelle) durcharbeiten.“

Six Sigma for Green Belts and Champions

Foundations, DMAIC, Tools, Cases, and Certification

Author: Howard S. Gitlow,David M. Levine

Publisher: Financial Times/Prentice Hall

ISBN: 9780131172623

Category: Business & Economics

Page: 705

View: 8454

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"Much has been said or written in recent times about the value of Six Sigma methodologies in driving organizational improvement. Yet, so many still seem to be intimidated by or skeptical about these principles and tools. In this text, Drs. Gitlow and Levine have provided a pragmatic, user-friendly treatment of underlying principles and methods, management obligations, and helpful case study examples to assist all of us in value-added enterprise-wide improvement." -Gary Floss, Managing Director, Bluefire Partners, and Board of Directors, the American Society for Quality (ASQ) "The authors provide the perfect blend of managerial insight and a straightforward "how to" approach to statistics. Anyone interested in learning about Six Sigma for the first time, or practitioners wanting to learn more, will find this book to-the-point, exciting, and easy to read. And also hard to put down!" -Timothy C. Krehbiel, Professor of Decision Sciences and MIS, Miami University (Ohio) "This book provides an excellent understanding of the foundations of quality management that provide a basis for the evolution of Six Sigma. For executives who wish to be "Champions" of Six Sigma, this book provides an understanding of what to expect of Green Belts as they work through a DMAIC project and what they should expect of themselves. Green Belt candidates will find the case studies extremely useful and informative. Both Champions and Green Belts will benefit from the comprehensive coverage of certification." -Edward A. Popovich, Ph. D., Vice President, Enterprise Excellence, Boca Raton Community Hospital and President, Sterling Enterprises International, Inc. The first complete Six Sigma implementation guide for Green Belts and Champions! Understand the rationale for Six Sigma Implement a proven executive framework for a successful quality initiative Use the DMAIC method for improvement from start to finish: Define, Measure, Analyze, Improve, and Control Manage Six Sigma statistics-without becoming a statistician Learn through complete detailed manufacturing and service case studies Learn how to understand and manage Six Sigma statistics, through practical, Minitab-based application examples. Includes instructions for using Minitab software Learn how to pass Six Sigma certification examinations with sample questions and answers If you're "project managing" Six Sigma (potential Green Belt)-or promoting it at the executive level (potential Champion)-this is your book. It's the first Six Sigma book written specifically for Green Belts, Champions...and anyone who plans to become one. Two experts help you master the entire DMAIC model: Define, Measure, Analyze, Improve, and Control. You'll discover realistic solutions for Six Sigma's profound human and technical challenges. You can even prepare for one of the world's leading Six Sigma certification programs. Clear, detailed, and proven...this is the one indispensable book for anyone who must manage Six Sigma to success. © Copyright Pearson Education. All rights reserved.

Flame Hardening

Author: Hans Wilhelm Grönegress

Publisher: Springer Science & Business Media

ISBN: 3642867219

Category: Technology & Engineering

Page: 64

View: 5074

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This book intended for shop use tries to familiarize the reader with the peculiari ties of a hardening method which due to its many advantages is now in use,many shops. A general knowledge of the principles of hardening and heat treating is presumed. Introduction 1. The name of the process. Flame hardening is a method derived from the old quench hardening and is used for the surface hardening of heat treatable steels. Flame hardening is so named in analogy to flame cutting as the use of a flame is a distinctive feature of this process as opposed to the use of a furnace. 2. Characteristics of flame hardening. In flame hardening the area to be 6 hardened is heated with a burner of large heat capacity (approx. 0.5 · 10 kcaljhr/ meter of flame lengths or 50,000 BTUfhr/inch of flame length) supplied with a mixture of fuel gas and oxygen. The hardening temperature is thus reached in so short a time at the surface that a heat jam is created, that is, more heat is supplied to the surface than can be dissipated to the interior of the workpiece. As the querr ehing takes place immediately after the heating the penetration of the heat to greater depth is prevented and only the outer layer subject to wear is hardened. The core of the workpiece remains unaffected by this heat treatment in cantrast to the other hardening methods where the entire piece is through heated in a furnace.

Statistical Analysis of Designed Experiments

Theory and Applications

Author: Ajit C. Tamhane

Publisher: John Wiley & Sons

ISBN: 1118491432

Category: Science

Page: 720

View: 1443

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A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.