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Business Statistics Using Excel: A Complete Course in Data Analytics
by R. PanneerselvamThis book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics. The volume provides an exhaustive introduction to the application of statistics in solving business problems and implementing data analytics for effective decision making in all kinds of business situations around the world. With an emphasis on simplicity in presentation of concepts of statistical methods and associated Excel functions, the volume explores the implementation of Excel functions through well-defined sequences of steps. It covers an array of key topics which include Discussions on real-world problems, decision support systems, scope of business statistics, types, and steps of research; Introduction to Excel and its mathematical and preliminary statistical functions; usage of different types of average functions; mean, median, and mode functions; measures of variation; measures of skewness of Excel; In-depth discussions on probability distributions, sampling distributions, testing of hypothesis, chi-square test, non-parametric tests of Excel; Extensive coverage on correlation and covariance, forecasting, analysis of variance, charts in Excel; and Analysis of the concept of linear programming, problem formulations, and techniques of linear programming, followed by the application in Excel. Comprehensive in scope and simple in approach, this book will be key for students and researchers of business studies, business administration, economics, finance, commerce, data analytics/science, and computer science. This will also serve as useful guidebook for business executives and working professionals across the globe.
Business Statistics for Competitive Advantage with Excel 2010: Basics, Model Building, Simulation and Cases
by Cynthia FraserExceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2010 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2010 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. Monte Carlo simulation is introduced early, as a tool to illustrate the range of possible outcomes from decision makers' assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response, and a chapter on logit regression models introduces models of market share or proportions. The Second Edition includes more explanation of hypothesis tests and confidence intervals, how t, F, and chi square distributions behave. The Data Files, Solution Files, and Chapter PowerPoints: The data files for text examples, cases, lab problems and assignments are stored on Blackboard and may be accessed using this link:https://blackboard.comm.virginia.edu/webapps/portal/frameset.jsp Instructors can gain access to the files, as well as solution files and chapter PowerPoints by registering on the Springer site: http://www.springer.com/statistics/business%2C+economics+%26+finance/book/978-1-4419-9856-9?changeHeader Business people can gain access to the files by emailing the author cfg8q@virginia.edu. https://blackboard.comm.virginia.edu/webapps/portal/frameset.jsp Instructors can gain access to the files, as well as solution files and chapter PowerPoints by registering on the Springer site: http://www.springer.com/statistics/business%2C+economics+%26+finance/book/978-1-4419-9856-9?changeHeader Business people can gain access to the files by emailing the author cfg8q@virginia.edu.
Business Statistics for Competitive Advantage with Excel 2019 and JMP: Basics, Model Building, Simulation and Cases
by Cynthia FraserThe revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. Students learn to build models, produce statistics, and translate results into implications for decision makers. The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods. The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP.For access to accompanying data sets, please email author Cynthia Fraser at cfg8q@virginia.edu.
Business Statistics for Competitive Advantage with Excel and JMP: Basics, Model Building, Simulation, and Cases
by Cynthia FraserThis book is the latest title of the popular Excel textbook; redesigned, while including interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. How can performance outcome drivers be identified? How can performance outcomes be forecast? Use of regression, conjoint analysis, Monte Carlo simulation provide answers and solutions for specific scenarios. Students learn to build models, produce statistics, and translate results into implications for decision makers.The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods.The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP.
Business Statistics: A Decision-Making Approach (8th edition)
by David F. Groebner Patrick W. Shannon Phillip C. Fry Kent D. SmithA direct approach to business statistics, ordered in a signature step-by-step framework. Business Statistics uses a direct approach that consistently presents concepts and techniques in way that benefits readers of all mathematical backgrounds. This text also contains engaging business examples to show the relevance of business statistics in action. The eighth edition provides even more learning aids to help readers understand the material.
Business Statistics: A First Course
by David M. Levine David F. Stephan Kathryn A. SzabatStatistics is essential for all business majors, and Business Statistics: A First Course helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by the principles set forth by major statistical and business science associations (ASA and DSI), plus the authors’ diverse experiences, the 8th Edition continues to innovate and improve the way this course is taught to all students. With new examples, case scenarios, and problems, the text continues its tradition of focusing on the interpretation of results, evaluation of assumptions, and discussion of next steps that lead to data-informed decision making. The authors feel that this approach, rather than a focus on manual calculations, better serves students in their future careers. This brief offering, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series.
Business Statistics: Communicating With Numbers
by Alison Kelly Sanjiv JaggiaThe third edition of Business Statistics: Communicating with Numbers provides a unique, innovative, and engaging learning experience for students studying Business Statistics. It is an intellectually stimulating, practical, and visually attractive textbook, from which students can learn and instructors can teach. Throughout the book, the authors have presented the material in an accessible way by using timely business applications to which students can relate. Although the text is application-oriented, it is also mathematically sound and uses notation that is generally accepted for the topic being covered.
Business Sustainability with Artificial Intelligence: Volume 1 (Studies in Systems, Decision and Control #568)
by Weifeng Chen Allam Hamdan Esra AlDhaen Ashley BraganzaWith the recent development of Artificial Intelligence (AI), businesses are urged to consider innovation while applying digital transformation. Depending on the nature of the businesses, it is found that innovative digital transformation is required with the use of Artificial Intelligence. However, the future of AI in businesses is yet unclear, the question is it true that without digital transformation businesses are no longer sustainable? Researchers argue that digital transformation could be an opportunity for business to create a global brand however several implications and challenges should be considered including governance and responsible digital management. This book explores how businesses could benefit from AI and leverage technologies to sustain businesses, and the book covers different technological and business-related issues including ethical use and cultural sensitivity of data used in businesses, managing data privacy and protection, governance standards for digital transformation, executive leadership strategic decisions, business innovation, and sustainability. The book is authored by leading experts in the field of AI, digitalization, and business innovation and sustainability, and the author’s diversity reflects quality of research with high level of impact in the research topic. It is written in accessible language that makes it easy for business leaders, researchers, policymakers, and anyone interested in the future of business development to understand the complex concepts and ideas presented in the book. This book provides insight for executive leaders in setting new innovative strategies toward leveraging AI in business at different levels of operations to support business sustainability. The book provides different theoretical and practical practices and case studies that could be used as a guideline for policy making and devising innovative directions.
Business Sustainability with Artificial Intelligence: Volume 2 (Studies in Systems, Decision and Control #566)
by Weifeng Chen Allam Hamdan Esra AlDhaen Ashley BraganzaThis book covers different technological and business-related issues including ethical use and cultural sensitivity of data used in businesses, managing data privacy and protection, governance standards for digital transformation, executive leadership strategic decisions, and business innovation and sustainability. With the recent development of artificial intelligence (AI), businesses are urged to consider innovation while applying digital transformation. Depending on the nature of the businesses, it is found that innovative digital transformation is required with the use of artificial intelligence. However, the future of AI in businesses is yet unclear, the question is it true that without digital transformation businesses are no longer sustainable? Researchers argue that digital transformation could be an opportunity for business to create a global brand however several implications and challenges should be considered including governance and responsible digital management. This book explores how businesses could benefit from AI and leverage technologies to sustain businesses. The book is authored by leading experts in the field of AI, digitalization, and business innovation and sustainability; the author’s diversity reflects quality of research with high level of impact in the research topic. It is written in accessible language that makes it easy for business leaders, researchers, policymakers, and anyone interested in the future of business development to understand the complex concepts and ideas presented in the book. This book provides insight for executive leaders in setting new innovative strategies toward leveraging AI in business at different levels of operations to support business sustainability. The book provides different theoretical and practical practices and case studies that could be used as a guideline for policy making and devising innovative directions.
Business Valuation and Company Value: New Qualitative Approaches Considering Business and Financial Risks (Contributions to Finance and Accounting)
by Peter Brusov Tatiana FilatovaBusiness valuation and company value play a very important role in making an informed investment decision; buying and selling shares and bonds of a company on the stock market; insurance; taxation, etc. This book develops new approaches to business valuation and company value. The existing methods of business and company valuation have many shortcomings, two of which are global, related to the impossibility of estimating one of the fundamental parameters of valuation – the discount rate, and the impossibility of correctly accounting for the retrospective period of valuation. Both of these shortcomings can currently be overcome only within the framework of the modern theory of Brusov-Filatova-Orekhova (BFO), which is done in this monograph, devoted to the development of a qualitatively new approach to the valuation of businesses and companies. The second most important method of business valuation – CAPM – was generalized by the authors to include financial risk along with business risk, and for the first time this was done correctly. A new model – CAPM 2.0 – was created and applied to many companies. And finally, CAPM 2.0 was included in the modern theory of Brusov-Filatova-Orekhova (BFO), which allows for a correct assessment of a business and a company, taking into account both business and financial risks, illustrating the practical application of the developed innovative approach.
Business and Management Education in Transitioning and Developing Countries: A Handbook
by Ilan Alon John R McIntyreBusiness education is a critical ingredient in establishing a viable middle class of managers in transitioning and developing economies. Compiled in association with the Center for International Business Education and Research, this comprehensive examination of business and management education, pedagogical models, and curricula innovations in institutions around the world is the first such work to emphasize emerging markets.
Busy Little Hands: Learning Activities for Preschoolers (Busy Little Hands)
by Jeanne White Linda DauksasIn this third book in the Busy Little Hands series, (Busy Little Hands: Art Play! and Busy Little Hands: Food Play!) preschoolers are introduced to the idea that math is everywhere, and numbers are fun! Each page features lots of bright pictures for pre-readers and each activity is designed for little mathematicians to play with numbers as they count, compare, measure, and make patterns using toys, snacks, and other items that are part of everyday life. From Counting Cars and Shape Stamping to Number Hide & Seek and Pattern Hunt, this book is packed with learning fun that will set preschoolers on the path to math success. Durable cards and stickers add hands-on learning elements.
Butterfly Counting (Jerry Pallotta's Counting Books)
by Jerry PallottaCount from one to twenty-six and learn about the many different kids of butterflies in the world. Gorgeous art by Shennen Bersani brings these beautiful insects to life, and Jerry Pallotta's signature humor and amazing facts make this a great read for all ages.
Butterfly Optimization Algorithm: Theory and Engineering Applications (SpringerBriefs in Applied Sciences and Technology)
by Om Prakash Verma Tarun Kumar SharmaThis book presents theory and applications of recently introduced butterfly optimization algorithm (BOA). It also highlights hybridization process in the basic structure of BOA with in-depth analysis of complexity. This book also describes the constraint handling process. The newly introduced variant is implemented and validated on a set of linear and nonlinear real works problems of engineering and pulp and paper industry. The simulated results are compared with most of the basic algorithms. Comparative and nonparametric statistical result analysis illustrates the efficacy of the algorithm.
C Programming Cookbook: Over 40 recipes exploring data structures, pointers, interprocess communication, and database in C
by B.M. HarwaniA comprehensive guide with curated recipes to help you gain a deeper understanding of modern C. Key Features Learn how to make your applications swift and robust by leveraging powerful features of C Understand the workings of arrays, strings, functions, and more down to how they operate in memory Master process synchronization during multi-tasking and server-client process communication Book Description C is a high-level language that's popular among developers. It enables you to write drivers for different devices, access machine-level hardware, apply dynamic memory allocation, and much more. With self-contained tutorials, known as recipes, this book will guide you in dealing with C and its idiosyncrasies and help you benefit from its latest features. Beginning with common tasks, each recipe addresses a specific problem followed by explaining the solution to get you acquainted with what goes on under the hood. You will explore core concepts of the programming language, including how to work with strings, pointers, and single and multi-dimensional arrays. You will also learn how to break a large application into small modules by creating functions, handling files, and using a database. Finally, the book will take you through advanced concepts such as concurrency and interprocess communication. By the end of this book, you'll have a clear understanding and deeper knowledge of C programming, which will help you become a better developer. What you will learn Manipulate single and multi-dimensional arrays Perform complex operations on strings Understand how to use pointers and memory optimally Discover how to use arrays, functions, and strings to make large applications Implement multitasking using threads and process synchronization Establish communication between two or more processes using different techniques Store simple text in files and store data in a database Who this book is for If you're a programmer with basic experience in C and want to leverage its features through modern programming practices, then this book is for you.
C Programming and Numerical Analysis: An Introduction (Synthesis Lectures on Mechanical Engineering)
by Seiichi NomuraThis book is aimed at those in engineering/scientific fields who have never learned programming before but are eager to master the C language quickly so as to immediately apply it to problem solving in numerical analysis. The book skips unnecessary formality but explains all the important aspects of C essential for numerical analysis. Topics covered in numerical analysis include single and simultaneous equations, differential equations, numerical integration, and simulations by random numbers. In the Appendices, quick tutorials for gnuplot, Octave/MATLAB, and FORTRAN for C users are provided. For the second edition, a section on memory management was added. Exercise problems were updated and the numerical analysis part refined.
C Programming: A Modern Approach
by K. N. KingThis introduction to the C programming language is based on the C ANSI dialect and is usable with all ANSI-compatible compilers and all operating systems. The three main parts of the text are: basic grounding in C; advanced topics and program writing; and a reference apparatus.
C* - Algebras and Numerical Analysis (Chapman & Hall/CRC Pure and Applied Mathematics)
by Ronald Hagen Steffen Roch Bernd Silbermann"Analyzes algebras of concrete approximation methods detailing prerequisites, local principles, and lifting theorems. Covers fractality and Fredholmness. Explains the phenomena of the asymptotic splitting of the singular values, and more."
C++ for Financial Mathematics (Chapman and Hall/CRC Financial Mathematics Series)
by John ArmstrongIf you know a little bit about financial mathematics but don’t yet know a lot about programming, then C++ for Financial Mathematics is for you. C++ is an essential skill for many jobs in quantitative finance, but learning it can be a daunting prospect. This book gathers together everything you need to know to price derivatives in C++ without unnecessary complexities or technicalities. It leads the reader step-by-step from programming novice to writing a sophisticated and flexible financial mathematics library. At every step, each new idea is motivated and illustrated with concrete financial examples. As employers understand, there is more to programming than knowing a computer language. As well as covering the core language features of C++, this book teaches the skills needed to write truly high quality software. These include topics such as unit tests, debugging, design patterns and data structures. The book teaches everything you need to know to solve realistic financial problems in C++. It can be used for self-study or as a textbook for an advanced undergraduate or master’s level course.
C++ for Mathematicians: An Introduction for Students and Professionals
by Edward ScheinermanFor problems that require extensive computation, a C++ program can race through billions of examples faster than most other computing choices. C++ enables mathematicians of virtually any discipline to create programs to meet their needs quickly, and is available on most computer systems at no cost. C++ for Mathematicians: An Introduction for Students and Professionals accentuates C++ concepts that are most valuable for pure and applied mathematical research.This is the first book available on C++ programming that is written specifically for a mathematical audience; it omits the language’s more obscure features in favor of the aspects of greatest utility for mathematical work. The author explains how to use C++ to formulate conjectures, create images and diagrams, verify proofs, build mathematical structures, and explore myriad examples. Emphasizing the essential role of practice as part of the learning process, the book is ideally designed for undergraduate coursework as well as self-study. Each chapter provides many problems and solutions which complement the text and enable you to learn quickly how to apply them to your own problems. Accompanying downloadable resources provide all numbered programs so that readers can easily use or adapt the code as needed. Presenting clear explanations and examples from the world of mathematics that develop concepts from the ground up, C++ for Mathematicians can be used again and again as a resource for applying C++ to problems that range from the basic to the complex.
C: From Theory to Practice
by George S. TselikisDesigned for a compulsory fundamental course, C: From Theory to Practice uses a hands-on approach to teach the C programming language, using numerous examples and a clear, concise presentation. Easy to use and classroom tested, this textbook includes more than 500 exercises and examples of progressive difficulty to help students in understanding al
C: From Theory to Practice, Second Edition
by George S. Tselikis Nikolaos D. TselikasThis easy-to-use, classroom-tested textbook covers the C programming language for computer science and IT students. Designed for a compulsory fundamental course, it presents the theory and principles of C. More than 500 exercises and examples of progressive difficulty aid students in understanding all the aspects and peculiarities of the C language. The exercises test students on various levels of programming and the examples enhance their concrete understanding of programming know-how. Instructor's manual and PowerPoint slides are available upon qualifying course adoption
CABology: Value Of Cloud, Analytics And Big Data Trio Wave
by Nitin UpadhyayThis uniquely accessible book helps readers use CABology to solve real-world business problems and drive real competitive advantage. It provides reliable, concise information on the real benefits, usage and operationalization aspects of utilizing the “Trio Wave” of cloud, analytic and big data. Anyone who thinks that the game changing technology is slow paced needs to think again. This book opens readers’ eyes to the fact that the dynamics of global technology and business are changing. Moreover, it argues that businesses must transform themselves in alignment with the Trio Wave if they want to survive and excel in the future. CABology focuses on the art and science of optimizing the business goals to deliver true value and benefits to the customer through cloud, analytic and big data. It offers business of all sizes a structured and comprehensive way of discovering the real benefits, usage and operationalization aspects of utilizing the Trio Wave.
CAD/CAM Systems Planning and Implementation
by Charles S. KnoxThis book identifies as many "alligators" as possible in the swamps surrounding implementation of an integrated CAD/CAM system. It is helpful for marketing managers, inventory control supervisors and innovators who believe in the need to modernize engineering and manufacturing systems.
CAT: An Introduction (Lecture Notes in Mathematics #2324)
by Petra SchwerIn recent years cube complexes have become a cornerstone topic of geometric group theory and have proven to be a powerful tool in other areas, such as low dimensional topology, phylogenetic trees or in the context of optimization problems.This book covers a wide variety of algebraic and geometric properties of cube complexes and the groups acting on them. The content ranges from basic properties of metric spaces, notions of non-positive curvature, Gromov's link condition and the Švarc–Milnor theorem to advanced material such as the cubulation of half-space systems and the Roller boundary, the construction of cube complexes associated with Coxeter groups, and the Tits alternative for cubical groups.Being the first self-contained, comprehensive introduction to cube complexes this book serves as an entry point for researchers interested in the subject. The material is accessible to advanced undergraduate and graduate students. The text is illustrated with many figures and examples and comes with a large collection of exercises.