Statistics and Probability for Engineering Applications

Author: William DeCoursey

Publisher: Elsevier

ISBN: 0080489753

Category: Mathematics

Page: 396

View: 8866

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Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job * Contains hundreds of solved problems and case studies, using real data sets * Avoids unnecessary theory

Statistics and Probability for Engineering Applications with Microsoft Excel

Author: William J. DeCoursey

Publisher: Amsterdam : Newnes

ISBN: 9780750676182

Category: Technology & Engineering

Page: 396

View: 6117

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More than ever, American industry- especially the semiconductor industry- is using statistical methods to improve its competitive edge in the world market. It is becoming more imperative that graduate engineers have solid statistical know-how, yet engineers in industry typically are not well-prepared to use statistics and they are fuzzy about how to apply statistical tools and techniques. This valuable reference makes statistical methods easier and more accessible to engineers. Although the book can be read sequentially, like a normal textbook, it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. It contains the following features: * Covers all major topics treated in a standard college engineering statistics course, but minimizes the mathematical derivations and focuses on practical applications * Uses real data sets/case studies taken from electronics, electrical engineering, and other engineering fields, such as mechanical and chemical engineering * Contains numerous software examples using the powerful statistical functions of Excel In addition, the book provides an "engineering problem solver" section that directs the reader to the relevant section of the book for the problem they are trying to solve. The accompanying CD-ROM contains the Excel data sets for the examples and case studies given in the book, along with other statistical tools and software. * Filled with practical techniques directly applicable on the job * Contains hundreds of solved problems and case studies, using real data sets * Avoids unnecessary theory

Statistik mit Excel für Dummies

Author: Joseph Schmuller

Publisher: John Wiley & Sons

ISBN: 3527811702

Category: Computers

Page: 535

View: 7454

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Statistiken und Aussagen zu Wahrscheinlichkeiten begegnen uns heute überall: Die Umsatzentwicklung in Unternehmen, Hochrechnungen für Wahlergebnisse, PISA-Ergebnisse fünfzehnjähriger Schüler sind nur drei von zahlreichen Beispielen. Joseph Schmuller zeigt Ihnen in diesem Buch, wie Sie die Zahlen in den Griff bekommen und Daten, Statistiken und Wahrscheinlichkeiten richtig lesen und interpretieren. Dafür brauchen Sie keinen Statistikkurs zu belegen und kein Mathegenie zu sein. Für alles gibt es in Excel die passende Funktion und das passende Werkzeug. So können Sie Theorie und Praxis sofort miteinander verbinden.

Handbook on Material and Energy Balance Calculations in Material Processing

Author: Arthur E. Morris,Gordon Geiger,H. Alan Fine

Publisher: John Wiley & Sons

ISBN: 1118237803

Category: Technology & Engineering

Page: 640

View: 8247

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Lately, there has been a renewed push to minimize the waste of materials and energy that accompany the production and processing of various materials. This third edition of this reference emphasizes the fundamental principles of the conservation of mass and energy, and their consequences as they relate to materials and energy. New to this edition are numerous worked examples, illustrating conventional and novel problem-solving techniques in applications such as semiconductor processing, environmental engineering, the production and processing of advanced and exotic materials for aerospace, electronic, and structural applications.

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

View: 7184

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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: 434

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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.

Modern Mathematical Statistics with Applications

Author: Jay L. Devore,Kenneth N. Berk

Publisher: Springer Science & Business Media

ISBN: 146140391X

Category: Mathematics

Page: 845

View: 2597

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Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data. The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chapters develop the probability material that bridges the gap between descriptive and inferential statistics. Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next three chapters. The remainder of the book explores the use of this methodology in a variety of more complex settings. This edition includes a plethora of new exercises, a number of which are similar to what would be encountered on the actuarial exams that cover probability and statistics. Representative applications include investigating whether the average tip percentage in a particular restaurant exceeds the standard 15%, considering whether the flavor and aroma of Champagne are affected by bottle temperature or type of pour, modeling the relationship between college graduation rate and average SAT score, and assessing the likelihood of O-ring failure in space shuttle launches as related to launch temperature.

Statistik-Workshop für Programmierer

Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868993436

Category: Computers

Page: 160

View: 7694

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Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.

Die Regeln der Arbeit

Author: Richard Templar

Publisher: books4success

ISBN: 3941493132

Category: Self-Help

Page: 250

View: 8829

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Für manche Menschen ist der Arbeitsalltag das schiere Vergnügen. Scheinbar ohne sich anzustrengen meistern Sie die Fallstricke der Büropolitik. Sie sagen und tun das Richtige, sie bekommen die Gehaltserhöhung, sie werden befördert. Was wissen diese Glücklichen, was alle anderen scheinbar nicht wissen? Sie kennen die Regeln. Die Regeln der Arbeit. Diese Regeln sind überraschend einfach zu lernen - und wenn man sie einmal kennt, dann kann man sie ebenso einfach im täglichen Leben beibehalten. Richard Templar hat sie in einem Buch zusammengefasst: den "Regeln der Arbeit". Erfahren Sie, wie Sie vorankommen, ohne Ihre Prinzipien aufgeben zu müssen; wie Sie das Selbstvertrauen und die Energie ausstrahlen, die Vertrauen und Respekt erzeugen; wie Sie die perfekte Nische für sich schaffen; wie Sie Konflikte lösen ohne die anderen vor den Kopf zu stoßen; und last but not least: wie Sie in den Schlüsselmomenten, die Ihre Karriere beflügeln können, aktiv, präsent und erfolgreich sind.

Excel 2002 für Dummies

Author: Greg Harvey

Publisher: Wiley-VCH

ISBN: 9783527700523

Category: Computers

Page: 352

View: 1318

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Sie haben keine blasse Ahnung von Tabellenkalkulationen, möchten aber Ihre Zahlen endlich in den Griff bekommen? Oder zählen Sie zu diesen Excel-begeisterten Buchhaltern, die mit Spannung auf die neuen Features der 2002er Version warten, um Ihren Chef mal wieder zu beeindrucken? In diesem Buch führt Sie Greg Harvey Schritt für Schritt in die Welt der Tabellen-kalkulation ein und demonstriert Ihnen das grandiose Organisationstalent von Excel 2002: unterschiedliche Datentypen zusammenstellen, Berechnungen durchführen, anschauliche Diagramme fabrizieren. Sie erfahren: * Wo der Unterschied zwischen Arbeitsmappen und Arbeitsblättern liegt * Wie Sie Ihre eigenen Tabellenblätter erstellen, bearbeiten, formatieren und drucken * Wie Sie aus Excel direkt Tabellen, Arbeitsblätter und Mappen per E-Mail versenden können * Wie Sie Ihre Excel-Tabelle auf der Website Ihres Unternehmens veröffentlichen * Welche neuen Features Excel 2002 zu bieten hat: ClipArts in Ihr Tabellenblatt einfügen, Webseiten in Excel bearbeiten u.v.a.m. * Wie Sie Daten und Texte aus allen Office XP-Programmen in Ihr Excel-Sheet integrieren

What Every Engineer Should Know About Excel

Author: J. P. Holman,Blake K. Holman

Publisher: CRC Press

ISBN: 142000719X

Category: Technology & Engineering

Page: 242

View: 9279

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With the many software packages available today, it's easy to overlook the computational and graphics capabilities offered by Microsoft® ExcelTM. The software is nearly ubiquitous and understanding its capabilities is an enormous benefit to engineers in almost any field and at all levels of experience. What Every Engineer Should Know About Excel offers in nine self-contained chapters a practical guide to the features and functions that can be used, for example, to solve equations and systems of equations, build charts and graphs, create line drawings, and perform optimizations. The author uses examples and screenshots to walk you through the steps and build a strong understanding of the material. With this book, you will learn how to... Set up the keyboard for direct entry of most math and Greek symbols Build a default scatter graph that is applicable to most simple presentations with little cosmetic modification Apply many types of formats to adjust the cosmetics of graphs Use 3D surface and area charts for data and functional representations, with associated cosmetic adjustments Correlate data with various types of functional relations Use line drawing tools to construct simple schematics or other diagrams Solve linear and nonlinear sets of equations using multiple methods Curve student grades using Excel probability functions Model device performance using different types of regression analysis involving multiple variables Manipulate Excel financial functions Calculate retirement accumulation with variable contribution rate and retirement payouts to match increases in inflation Apply Excel methods for optimization problems with both linear and nonlinear relations Use pivot tables to manipulate both experimental data and analytical relationships Calculate experimental uncertainties using Excel And much more!

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: 4999

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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: 9988

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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!

Datenanalyse mit Python

Auswertung von Daten mit Pandas, NumPy und IPython

Author: Wes McKinney

Publisher: O'Reilly

ISBN: 3960102143

Category: Computers

Page: 542

View: 963

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Erfahren Sie alles über das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensätzen mit Python: Aktualisiert auf Python 3.6, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv lösen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy, IPython und Jupyter kennen.Geschrieben von Wes McKinney, dem Begründer des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl für Datenanalysten, für die Python Neuland ist, als auch für Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und zugehöriges Material des Buchs sind auf GitHub verfügbar.Aus dem Inhalt:Nutzen Sie die IPython-Shell und Jupyter Notebook für das explorative ComputingLernen Sie Grundfunktionen und fortgeschrittene Features von NumPy kennenSetzen Sie die Datenanalyse-Tools der pandasBibliothek einVerwenden Sie flexible Werkzeuge zum Laden, Bereinigen, Transformieren, Zusammenführen und Umformen von DatenErstellen Sie interformative Visualisierungen mit matplotlibWenden Sie die GroupBy-Mechanismen von pandas an, um Datensätzen zurechtzuschneiden, umzugestalten und zusammenzufassenAnalysieren und manipulieren Sie verschiedenste Zeitreihen-DatenFür diese aktualisierte 2. Auflage wurde der gesamte Code an Python 3.6 und die neuesten Versionen der pandas-Bibliothek angepasst. Neu in dieser Auflage: Informationen zu fortgeschrittenen pandas-Tools sowie eine kurze Einführung in statsmodels und scikit-learn.

Principles of Applied Statistics

An Integrated Approach Using MINITAB and Excel

Author: Michael C. Fleming,Joseph G. Nellis

Publisher: Cengage Learning EMEA

ISBN: 9781861525864

Category: Business & Economics

Page: 474

View: 1032

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This guide examines the principles of statistical data, probability, regression and correlation analysis, forecasting and time-series analysis, emphasizing their practical applications.

Operations Research

Applications and Algorithms

Author: Wayne L. Winston,Jeffrey B. Goldberg

Publisher: Duxbury Press

ISBN: N.A

Category: Business & Economics

Page: 1418

View: 7382

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An introduction to model building; Basic linear algebra; Introduction to linear programming; The simplex algorithm and goal programming; Sensititivity analysis: an applied approach; Sensitivity analysis and duality; Transportation, assignment, and transshipment problems; Network models; Integer programming; Advanced topics in linear programming; Nonlinear programming; Review of calculus and probality; Decision making under uncertainty; Game theory; Deterministic EOQ inventory models; Probabilistic EOQ inventory models; Makov Chains; Deterministic dynamic programming; Probabilistic dynamic programming; Queuing theory; Simulation; Simulation with process model; Spreadheet simulation with the excel [email protected]; Forecasting models.

Applications of Microsoft Excel in Analytical Chemistry

Author: F. James Holler,Stanley R. Crouch

Publisher: Cengage Learning

ISBN: 1285629574

Category: Science

Page: 480

View: 5926

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This supplement can be used in any analytical chemistry course. The exercises teaches you how to use Microsoft Excel using applications from statistics, data analysis equilibrium calculations, curve fitting, and more. Operations include everything from basic arithmetic and cell formatting to Solver, Goal Seek, and the Data Analysis Toolpak. The authors show you how to use a spreadsheet to construct log diagrams and to plot the results. Statistical data treatment includes descriptive statistics, linear regression, hypothesis testing, and analysis of variance. Tutorial exercises include nonlinear regression such as fitting the Van Deemter equation, fitting kinetics data, determining error coefficients in spectrophotometry, and calculating titration curves. Additional features include solving complex systems of equilibrium equations and advanced graphical methods: error bars, charts with insets, matrices and determinants, and much more. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.