Quantitative Methods for Decision Making Using Excel

Author: Glyn Davis,Branko Pecar

Publisher: Oxford University Press

ISBN: 0199694060

Category: Business & Economics

Page: 629

View: 3183

Quantitative Methods for Decision Making is a comprehensive guide that provides students with the key techniques and methodology they will need to successfully engage with all aspects of quantitative analysis and decision making; both on their undergraduate course, and in the larger context of their future business environments. Organized in accordance with the enterprise functional structure where the decision making takes place, the textbook encompasses a broad range of functions, each detailed with clear examples illustrated through the single application tool Microsoft Excel. The authors approach a range of methods which are divided into major enterprise functions such as marketing, sales, business development, manufacturing, quality control and finance; illustrating how the methods can be applied in practice and translated into a working environment. Each chapter is packed with short case studies to exemplify the practical use of techniques, and contains a wealth of exercises after key sections and concepts, giving students the opportunity to monitor their own progress using the solutions at the back of the book. An Online Resource Centre accompanies the text and includes: For students: - Numerical skills workbook with additional exercises, questions and content - Data from the examples and exercises in the book - Online glossary of terms - Revision tips - Visual walkthrough videos covering the application of a range of quantitative methods - Appendices to the book For lecturers: - Instructor's manual including solutions from the text and a guide to structuring lectures and seminars - PowerPoint presentations - Test bank with questions for each chapter - Suggested assignment and examination questions
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Quantitative Methods for Decision Makers 6th edn

Author: Mik Wisniewski

Publisher: Pearson Higher Ed

ISBN: 1292112719

Category: Business & Economics

Page: 600

View: 8190

Appealing both to students on introductory courses for quantitative methods and MBA students, this well-respected text provides an accessible introduction to an area that students often find difficult. As a manager, developing a good understanding of the business analysis techniques at your disposal is crucial. Knowing how and when to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Quantitative Methods for Decision Makers helps students to understand the relevance of quantitative methods of analysis to manager’s decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focusing on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: Student Activities with a solutions Appendix Fully worked examples and exercises supported by Excel data sets “QMDM in Action” case studies illustrating how real-life organisations benefit from the use of quantitative techniques Chapter on financial decision-making “Wisniewski makes numerical and statistical concepts understandable and brings them to life using excellent scenarios and case studies. This book was a valuable resource during my MBA studies and I am encouraging all my non-statistical colleagues and anyone who works with statistics or performance measurement data to read this book!” Brian J Pickett, Assistant Director, Local Government Data Unit, Wales Mik Wisniewski is Senior Research Fellow at Strathclyde Business School in Scotland. He also works as a freelance management consultant with clients including PriceWaterhouseCoopers, ScottishPower and Shell, and a variety of public sector organisations in the UK and internationally.
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Introduction to Quantitative Methods in Business

With Applications Using Microsoft Office Excel

Author: Bharat Kolluri,Michael J. Panik,Rao N. Singamsetti

Publisher: John Wiley & Sons

ISBN: 1119220971

Category: Mathematics

Page: 320

View: 5939

A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft® Office Excel® applications used to guide business decision making Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations. The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, the second part details both linear and nonlinear models of business activity. Extensively classroom-tested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® also includes: Numerous examples and practice problems that emphasize real-world business quantitative techniques and applications Excel-based computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis End-of-chapter sections detailing the Excel applications and techniques used to address data and solutions using large data sets A companion website that includes chapter summaries, Excel data sets, sample exams and quizzes, lecture slides, and an Instructors’ Solutions Manual Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® is an excellent textbook for undergraduate-level courses on quantitative methods in business, economics, finance, marketing, operations, and statistics. The book is also an ideal reference for readers with little or no quantitative background who require a better understanding of basic mathematical and statistical concepts used in economics and business. Bharat Kolluri, Ph.D., is Professor of Economics in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include econometrics, business statistics, quantitative decision making, applied macroeconomics, applied microeconomics, and corporate finance. Michael J. Panik, Ph.D., is Professor Emeritus in the Department of Economics, Finance, and Insurance at the University of Hartford. He has served as a consultant to the Connecticut Department of Motor Vehicles as well as to a variety of health care organizations. In addition, Dr. Panik is the author of numerous books, including Growth Curve Modeling: Theory and Applications and Statistical Inference: A Short Course, both published by Wiley. Rao N. Singamsetti, Ph.D., is Associate Professor in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include the status of war on poverty in the United States since the 1960s and forecasting foreign exchange rates using econometric methods.
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Quantitative Methods

An Introduction for Business Management

Author: Paolo Brandimarte

Publisher: John Wiley & Sons

ISBN: 9781118023488

Category: Mathematics

Page: 800

View: 3985

An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills.
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Quantitative Methods for Business

Author: David R. Anderson,Dennis J. Sweeney,Thomas A. Williams,Jeffrey D. Camm,James J. Cochran

Publisher: Cengage Learning

ISBN: 1305480562

Category: Business & Economics

Page: 936

View: 3481

Written with the non-mathematician in mind, QUANTITATIVE METHODS FOR BUSINESS, 13E by award-winning authors Anderson, Sweeney, Williams, Camm, Cochran, Fry, and Ohlmann equips your students with a strong conceptual understanding of the critical role that quantitative methods play in today's decision-making process. This applications-oriented text clearly introduces current quantitative methods, how they work, and how savvy decision makers can most effectively apply and interpret data. A strong managerial orientation motivates learning by weaving relevant, real-world examples throughout. The authors' hallmark Problem-Scenario Approach helps readers understand and apply mathematical concepts and techniques. The 13th Edition includes a more holistic description of how variable activity times affect the probability of a project meeting a deadline. In addition, numerous all-new Q.M. in Action vignettes, homework problems, and end-of-chapter cases are included. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Quantitative business methods using excel

Author: David Whigham

Publisher: Oxford University Press, USA

ISBN: N.A

Category: Business & Economics

Page: 467

View: 6214

This text provides a comprehensive introduction to quantitative methods for business students. The text employs Excel 5.0 as a tool to assist the student to understand and use quantitative methods to solve business problems. Designed to be read in front of the computer screen, this book introduces the student to topics in Quantitative Methods. Each chapter contains an illustrated set of exercises and solutions summarising the topics covered, and the book is accompanied by a disk containing further exercises andexamples referred to in the text. The book therefore presents the reader with a far more lively, active and hands-on approach to learning than that of a standard textbook. The text commences with an introduction to the functions, commands and routines contained in the Excel 5.0 spreadsheet. These are explained in the context of everyday business problems. Thereafter, these Excel techniques are applied to the topics that constitute undergraduate Quantitative Methodsmodules - algebraic modelling, financial mathematics, organisational methods, descriptive statistics, inferential statistics and regression. Throughout the discussion the distinction between quantitative theory and Excel techniques is marked in the text. Computer instructions are highlighted throughout. This provides a fast-track route for those readers who are familiar with quantitative methods but not with how to apply them onExcel. The book is tailored towards a readership of 1st or 2nd year students of Quantitative Methods (or maths and statistics) on Business, Management and Accountancy courses. It would also be appropriate for use on MBA, management or accountancy diploma courses.
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Quantitative Decision Making with Spreadsheet Applications

Author: Lawrence L. Lapin,William D. Whisler

Publisher: Duxbury Press

ISBN: N.A

Category: Decision making

Page: 807

View: 8369

Written for students with a background in algebra, this text provides a complete and modern treatment of basic management science methodology. The authors survey the variety and power of management science tools, working to alleviate students' apprehension about the subject and to enable students to recognize on-the-job situations in which management science methodology can be successfully employed. Emphasizing modeling skills for students of varying mathematical backgrounds, the authors explain how to use Microsoft Excel spreadsheets to build skills as they work through problems. In general, problems are broken into several parts to make difficult concepts easy for students to learn. This book's modular structure affords instructors maximum flexibility. This text contains a special student version of Palisade Corporation's DecisionTools Suite, containing @Risk, PrecisionTree, BestFit, TopRank and RiskView. This software is expressly provided for student use and requires student authorization to unlock the software for its full one year license. Professional customers may use the software for 30 days at which point they must contact Palisade Corporation for a professional version should they wish to continue using the software.
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Business Data Analysis Using Excel

Author: David Whigham

Publisher: Oxford University Press

ISBN: 9780199296286

Category: Business & Economics

Page: 293

View: 564

Taking a thematic approach to the use of Excel spreadsheets in introductory business data analysis, this text has been designed to explain the overall nature of what is to be achieved and also instruction in how it is to be done. The learning approach is highly interactive and enables students to develop an understanding of the power of Excel in allowing both analysis of business data sets and in the flexible preparation of graphs, charts and tables for inclusion in reports and essays. The text is supported by an online resource centre with self marking exercises that can be used by instructors for formative and summative assessment, and a series of PowerPoint files containing all of the illustrated worksheets and figures.
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Business Statistics Using Excel

Author: Glyn Davis,Branko Pecar

Publisher: Oxford University Press

ISBN: 0199659516

Category: Business & Economics

Page: 486

View: 7999

Offering a comprehensive, "step-by-step" approach to the subject, Business Statistics Using Excel, Second Edition, gives students the tools and skills they need to succeed in their coursework. FEATURES - "Techniques in Practice" exercises at the end of each chapter encourage self-assessment - Excel screenshots provide clear and helpful examples that illustrate how to apply Excel skills to business statistics - Full integration of Excel exercises and applications--both in the textbook and on the Companion Website--enable both classroom-led learning or self-directed study NEW TO THIS EDITION - Expanded coverage of probability and probability distributions - Updated checklists help students to link the skills to their own development portfolios - All chapters have been fully revised and updated to include additional examples, explanations, and discussion questions - Greater emphasis on employability skills, which enables students to contextualize their learning and also helps them to identify how these skills can be applied and valued in real business environments The accompanying Companion Website offers a variety of features: For students: - Introduction to Microsoft Excel 2010 - Self-test multiple-choice questions - Data from the exercises in the book - Links to key websites - Online glossary - Revision tips - Visual walk-throughs - Numerical-skills workbook: New to the second edition, this online refresher course covering basic math and Microsoft Excel helps reinforce students' confidence in their mathematical ability For instructors: - Instructor's Manual containing a guide to structuring lectures and worked-out answers to exercises in the book - PowerPoint slides - A Testbank with thirty questions per chapter
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Quantitative Techniques for Management

Author: S. Jaisankar

Publisher: Excel Books India

ISBN: 9788174464576

Category:

Page: 318

View: 9949

This book has been developed with a focus on the need to demystify the subject and make it easy for students to grasp the principles and details involved, and make it easily understandable to beginners exposed to the subject for the first time. An attempt has been made to explain things in a logical progression, in the simplest possible way so that neophytes may quickly grasp the concepts and methodology. A novel approach in the book is the illustrative use of computers with TORA package, as a problem-solving tool. In actual practice, situations arise with large and complex problems that are difficult to solve. At such times, using computers to solve problems gives fast and more accurate results. The chapters are arranged so as to progressively explain the workings of various models in actual practice through step-by-step procedures that so simplify and solve them, that even students from a non-mathematics academic background will grasp them quickly. Linear programming, the most powerful tool for managerial decision-making is covered elaborately, including thorough discussion of various LP methods and LP solutions, Duality in LP problems, sensitivity analysis, etc. Models in the book also use Linear Programming to reach solutions including those relating to transportation and transshipment, assignment, and Game Theory&illustrated with screen-shots of a computer with a TORA package. Readers whether students, business executives, managers, researchers and academicians will find that the insights and knowledge obtained from the book will stand them in good stead in both academic as well as occupational pursuits.
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Business Statistics Using EXCEL and SPSS

Author: Nick Lee,Mike Peters

Publisher: SAGE

ISBN: 1473943884

Category: Business & Economics

Page: 584

View: 6921

'Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.' - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems. Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive. A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know Think it over get students to stop, engage and reflect upon the different connections between topics A range of online resources including a set of data files and templates for the reader following in-text examples, downloadable worksheets and instructor materials, answers to in-text exercises and video content compliment the book. An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
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Economic and Business Analysis

Quantitative Methods Using Spreadsheets

Author: Frank S. T. Hsiao

Publisher: World Scientific

ISBN: 9812834923

Category: Business & Economics

Page: 636

View: 9001

As we enter the 21st century, most students are familiar with microcomputers. They are adept in visually-oriented playing and learning, as evidenced by prevalent video games, music videos, and DVD movies. This book appeals to the modern day undergraduate and graduate students by using microcomputers, through innovative uses of spreadsheets and built-in spreadsheets equations and formulae. This microcomputer skill-intensive book covers major topics in both economic analysis and business analysis. Students will learn how to build complex spreadsheet layouts and perform high-level calculations and analysis intuitively in a non-threatening environment. To encourage students' active learning and critical thinking, they will be given hands-on practice by creating tables and graphs presented in the text and homework, and by changing the parameters to find the effects of the change instantly. At the same time, by acquainting themselves with the popular spreadsheet program, they will acquire more advanced job skills directly.
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Business Analytics: Data Analysis & Decision Making

Author: S. Christian Albright,Wayne L. Winston

Publisher: Cengage Learning

ISBN: 1305947541

Category: Business & Economics

Page: 984

View: 1261

Master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, user-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, include increased emphasis on the tools commonly included under the Business Analytics umbrella -- including Microsoft Excel’s “Power BI” suite. In addition, up-to-date problem sets and cases provide realistic examples to show the relevance of the material. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Data Analysis and Decision Making with Microsoft Excel

Author: S. Christian Albright,Wayne L. Winston,Christopher James Zappe

Publisher: Brooks/Cole

ISBN: 9780534389321

Category: Decision making

Page: 998

View: 2884

"Software add-ins for Microsoft Excel: StatPro [2.0], RISK [4.0], PrecisionTree, Best Fit, RISKView, TopRank, and SolverTable with data files and appendices"--CD-ROM label.
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Quantitative Methods in Health Care Management

Techniques and Applications

Author: Yasar A. Ozcan

Publisher: John Wiley & Sons

ISBN: 9780470449035

Category: Medical

Page: 432

View: 1999

Thoroughly revised and updated for Excel®, this second edition of Quantitative Methods in Health Care Management offers a comprehensive introduction to quantitative methods and techniques for the student or new administrator. Its broad range of practical methods and analysis spans operational, tactical, and strategic decisions. Users will find techniques for forecasting, decision-making, facility location, facility layout, reengineering, staffing, scheduling, productivity, resource allocation, supply chain and inventory management, quality control, project management, queuing models for capacity, and simulation. The book's step-by-step approach, use of Excel, and downloadable Excel templates make the text highly practical. Praise for the Second Edition "The second edition of Dr. Ozcan's textbook is comprehensive and well-written with useful illustrative examples that give students and health care professionals a perfect toolkit for quantitative decision making in health care on the road for the twenty-first century. The text helps to explain the complex health care management problems and offer support for decision makers in this field." —Marion Rauner, associate professor, School of Business, Economics, and Statistics, University of Vienna. "Quantitative Methods in Health Care Administration, Second Edition covers a broad set of necessary and important topics. It is a valuable text that is easy to teach and learn from." —David Belson, professor, Department of Industrial Engineering, Viterbi School of Engineering, University of Southern California.
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Business Risk and Simulation Modelling in Practice

Using Excel, VBA and @RISK

Author: Michael Rees

Publisher: John Wiley & Sons

ISBN: 1118904052

Category: Business & Economics

Page: 464

View: 3745

The complete guide to the principles and practice of risk quantification Risk analysis can enhance traditional financial modeling in any decision-related situation, and in some cases, is an indispensable part of the decision process. Business Risk and Simulation Modeling in Practice covers the principles and tools in depth, helping readers gain a greater understanding of effective application in real-world scenarios. This book provides a practical, comprehensive, and in-depth guide to the industry's fundamental principles and tools. Based on the author's many years in training and consultancy, this book provides real-life solutions to risk modeling applications, demonstrated with highly developed practical models that directly apply to real situations. Coverage includes the use of Excel and VBA, as well as in-depth guidance to Palisade's @RISK Excel add-in, which allows a richer range of models to be built more quickly, flexibly, and transparently. The underlying theory and statistical concepts of risk analysis are covered from a rigorous, yet practical perspective, with a non-mathematical focus accessible to a wide variety of readers. The companion website provides additional resources, including one hundred worked examples and preformatted spreadsheets. Understand the fundamental concepts and practices of risk analysis and modeling Master the use of Excel, VBA, and @RISK for dependency and correlation modeling Learn which distribution fits which scenario, and how to use it appropriately Examine example models to better understand the more complex concepts The quantification of risk is an increasingly important aspect of all forms of decision-making, and is a natural extension of general financial modeling. To be effective, professionals need a firm grasp of both the fundamental concepts and the tools of the trade. Business Risk and Simulation Modeling in Practice provides clear, complete guidance, enhanced with expert perspective.
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Quantitative Methods

for Business, Management and Finance

Author: Louise Swift,Sally Piff

Publisher: Macmillan International Higher Education

ISBN: 113733794X

Category: Business & Economics

Page: 728

View: 4426

Businesses are built on numbers; in any organization the ability to use and interpret quantitative methods is vital to maintaining a competitive edge. Quantitative Methods for Business, Management and Finance is a comprehensive, easy-to-follow guide to the subject, painlessly leading you from fundamental principles to more advanced applications. It is an essential text for undergraduate students of business, management and finance, as well as for those on MBA and postgraduate courses. Each topic is explained in a clear, friendly style, and accompanied by examples, exercises and activities, making the text ideal for self-tuition. This highly successful learning-by-doing approach, coupled with the book's clear structure, make the understanding of essential mathematical skills achievable - and even enjoyable! Key benefits: • From basics to business modelling: maths revision through to probability, statistics and more, all in one text • Suitable for all maths backgrounds – an optional introductory part teaches mathematical essentials from scratch • Refreshingly non-technical writing style – user-friendly and engaging, avoiding excessive theory • Practical guidance on using IBM SPSS and Microsoft Excel • Brand new 'Moving on...' feature with integrated web and book activities for Business Modelling chapters, relating theory to the real world The companion website offers lecturers a testbank, PowerPoint slides, and assessment solutions. Students will find multiple choice practice questions, data sets, and extra exercises. LOUISE SWIFT taught quantitative methods to students of business, management and finance for over ten years at the University of East Anglia, UK, where she now works as a statistician. SALLY PIFF is Lecturer in Quantitative Methods at Norwich Business School, University of East Anglia, UK.
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Applied Statistics for Business and Management using Microsoft Excel

Author: Linda Herkenhoff,John Fogli

Publisher: Springer Science & Business Media

ISBN: 1461484235

Category: Computers

Page: 417

View: 671

Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.
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Managerial Decision Modeling

Business Analytics with Spreadsheets, Fourth Edition

Author: Nagraj (Raju) Balakrishnan,Barry Render,Ralph Stair,Chuck Munson

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 1501506315

Category: Business & Economics

Page: 828

View: 1393

This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https: //www.degruyter.com/view/product/486941
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