This volume provides solid methodological development in the area of statistics for business and economics. The development of each technique is presented in an application setting, with statistical results providing insights and solutions to problems.
Using real-world examples, the authors clearly demonstrate how quantitative techniques can be applied to business and economics situations. The text is supported by a teacher resource pack that includes a data disk.
An international guide to research institutes, periodicals and journals within the fields of business and economics * Provides a directory of research institutes and centres * Lists full contact details and information on editor, publisher, date of foundation, subject areas covered, frequency and circulation figures of the periodicals and journals which publish the results of research into business and economics. Key Features: Section One: Directory of research institutes and centres Section Two: Listing of periodicals which publish results of research in business and economics An alphabetical index.
This textbook discusses central statistical concepts and their use in business and economics. To endure the hardship of abstract statistical thinking, business and economics students need to see interesting applications at an early stage. Accordingly, the book predominantly focuses on exercises, several of which draw on simple applications of non-linear theory. The main body presents central ideas in a simple, straightforward manner; the exposition is concise, without sacrificing rigor. The book bridges the gap between theory and applications, with most exercises formulated in an economic context. Its simplicity of style makes the book suitable for students at any level, and every chapter starts out with simple problems. Several exercises, however, are more challenging, as they are devoted to the discussion of non-trivial economic problems where statistics plays a central part.
In economic modeling and planning, as well as in business, most problems are linear, or approximated by linear models. Such problems are solved by matrix methods, so the material presented in this book is essential to these fields.
Get more out of learning statistics than simply the ability to solve equations. Discover how statistical information enables strong decisions in today’s business world with STATISTICS FOR BUSINESS AND ECONOMICS, REVISED 13E. Sound methodology combines with a proven problem-scenario approach, and meaningful applications for the most powerful approach to mastering critical statistical concepts. This edition’s prestigious author team brings together more than 25 years of unmatched experience to this thoroughly updated book. More than 350 real business examples, timely cases, and memorable exercises present the latest statistical data and business information with unwavering accuracy. To ensure the most relevant coverage, this edition introduces how to use today’s most popular commercial statistical software programs, including Minitab 17 and Excel 2016. Trust this edition for the statistics background needed for business success. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Forecasting in Business and Economics presents a variety of forecasting techniques and problems. This book discusses the importance of the selection of a relevant information set. Organized into 12 chapters, this book begins with an overview of the forecasting techniques that are useful in decision making. This text then discusses the difficulties in interpreting an apparent trend and discusses its implications. Other chapters consider how a time series is analyzed and forecast by discussing the methods by which a series can be generated. This book discusses as well the views of most academic time series analysts regarding the usefulness of searches for cycles in most economic and business series. The final chapter deals with the techniques developed for forecasting. This book is a valuable resource for senior undergraduates in business, economics, commerce, and management. Graduate students in operations research and production engineering will also find this book extremely useful.