Quantitative Methods For Decision Making Using Excel

Author: Glyn Davis
Publisher: Oxford University Press
ISBN: 0199694060
File Size: 78,12 MB
Format: PDF, ePub
Read: 439
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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

Introduction To Quantitative Methods In Business

Author: Bharat Kolluri
Publisher: John Wiley & Sons
ISBN: 1119220971
File Size: 58,81 MB
Format: PDF, ePub, Docs
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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.

Quantitative Methods For Decision Makers 6th Edn

Author: Mik Wisniewski
Publisher: Pearson Higher Ed
ISBN: 1292112719
File Size: 74,82 MB
Format: PDF, Mobi
Read: 2571
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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.

Quantitative Methods For Business

Author: David R. Anderson
Publisher: Cengage Learning
ISBN: 1305480562
File Size: 80,77 MB
Format: PDF
Read: 9949
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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.

Economic And Business Analysis

Author: Frank S. T. Hsiao
Publisher: World Scientific
ISBN: 9812834923
File Size: 44,59 MB
Format: PDF
Read: 9671
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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.

Quantitative Methods

Author: Paolo Brandimarte
Publisher: John Wiley & Sons
ISBN: 9781118023488
File Size: 72,44 MB
Format: PDF
Read: 127
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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.

Quantitative Business Methods Using Excel

Author: David Whigham
Publisher: Oxford University Press, USA
ISBN:
File Size: 31,36 MB
Format: PDF, Mobi
Read: 5556
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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.

Quantitative Methods In Health Care Management

Author: Yasar A. Ozcan
Publisher: John Wiley & Sons
ISBN: 9780470449035
File Size: 30,88 MB
Format: PDF, Mobi
Read: 9877
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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.

Quantitative Techniques For Management

Author: S. Jaisankar
Publisher: Excel Books India
ISBN: 9788174464576
File Size: 46,50 MB
Format: PDF, ePub, Docs
Read: 3795
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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.

Business Statistics Using Excel

Author: Glyn Davis
Publisher: Oxford University Press
ISBN: 0199659516
File Size: 33,10 MB
Format: PDF, ePub
Read: 8354
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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