Business Mathematics and Statistics 7th Edition
This seventh edition of Business Mathematics and Statistics provides a thorough grounding in basic mathematical and statistical techniques, helping students to learn how to make decisions when presented with incomplete information. Comprehensive coverage of statistical methods, management mathematics and probability and extensive examples and questions make this essential reading for students on business and accounting courses and also students studying economics.
About the Author
Andre Francis has recently retired from his position as a medical statistician at QMC, University Hospital, Nottingham. He also taught mathematics, statistics and information processing to students on business and professional courses for many years. Ben Mousley currently teaches mathematics and statistics in the United Arab Emirates. He also teaches postgraduate quantitative and qualitative research at the Corvinus University of Budapest, Hungary and was previously lecturer in postgraduate marketing research and undergraduate statistics.
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Business Analysis and Valuation, Third IFRS Edition provides comprehensive coverage on how to use financial statement data in a variety of business analysis and valuation contexts. The text’s key strength is that it both offers a framework for business analysis and valuation but also shows how this framework can be applied in a variety of decision-making contexts. The text is thoroughly IFRS based. For example, the chapters on accounting analysis prepare students for the task of analyzing IFRS-based financial statements; all numerical examples of accounting adjustments describe adjustments to IFRS-based financial statements; and the terminology used throughout is IFRS-consistent. Business Analysis and Valuation, Third IFRS Edition is ideal for modules in financial statement analysis taken by MBA students, Masters in Accounting students, Executive Program participants and upper level undergraduates in accounting and finance.
“The Business Environment” provides a flexible and comprehensive learning experience for modern PESTLE-driven courses by using a two-tier approach. The book offers an accessible introduction to the business environment model, taking into account curriculum and blended learning developments. For those new to business and business economics it introduces the key concepts, theory and examples (covering marketing, human resource management, operations management, finance), whilst also maintaining the depth and rigour needed for both undergraduate and postgraduate level study. The accompanying CourseMate offers a host of practical material mapped specifically to each chapter, and provides the overall product with unrivalled depth and coverage for the levels targeted. This textbook is autopackaged with CourseMate. CourseMate brings course concepts to life with interactive learning, study, and exam preparation tools that support the printed textbook and the textbook-specific website. CourseMate includes an integrated eBook and interactive teaching and learning tools including quizzes, flashcards, videos, and more and an EngagementTracker, a first-of-its-kind tool that monitors student engagement in the course.
Business Statistics in Practice, Seventh Edition provides a modern, practical and unique framework for teaching an introductory course in Business Statistics. The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Seventh Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples.
The new edition of Essentials of Business Statistics delivers clear and understandable explanations of core business statistics concepts, making it ideal for a one-term course in business statistics. The author team emphasize the importance of interpreting statistical results to make effective decisions to improve business processes. The text offers real applications of statistics that are relevant to today’s business students which can be seen in the continuing case studies throughout the book. Continuing cases span throughout a chapter or even groups of chapters, easing students into new topic areas.
About the Author
Bruce L. Bowerman is a professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 37 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987 Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received and Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Professor Bowerman has written 11 textbooks. These include Forecasting and Time Series: An Applied Approach and Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); The first edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine.
Richard T. O’Connell is an associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 32 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. In 2000 Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written seven textbooks. These include Forecasting and Time Series: An Applied Approach and Linear Statistical Models: An Applied Approach. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach.
James Burdeane “Deane” Orris J.B. Orris is a professor of management science at Butler University in Indianapolis, Indiana. He received his Ph.D. from the University of Illinois in 1971, and in the late 1970s with the advent of personal computers, he combined his interest in statistics and computers to write one of the first personal computer statistics packages—MICROSTAT. Over the past 20 years, MICROSTAT has evolved into MegaStat, which is an Excel add-in statistics program. In 1999 he wrote an Excel book (Essentials: Excel 2000 Advanced) and has done work in neural networks, spreadsheet simulation, and statistical analysis for many research projects. He has taught statistics and computer courses in the College of Business Administration of Butler University since 1971. He is a member of the American Statistical Association and is past president of the Central Indiana Chapter. In his spare time, Professor Orris enjoys reading, working out, and working in his woodworking shop.