Now entering its 6th edition Quantitative Methods for Business Decisions is regarded as one of the clearest, most accurate and comprehensive European textbooks in its field. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance, and public administration, to appeal to students across the business spectrum.Using a rigorous exercise-based approach this title provides in-depth guidance on how to apply the most widely-used statistical methods in business. The extensive coverage provided makes this text suitable for the teaching of quantitative methods across all business disciplines at undergraduate level and MBA courses.
This new edition contains clear and readable explanations of the statistical and mathematical methods most commonly taught in quantitative courses. Microstats, a public domain software package, is provided in a 3.5 floppy disk included in the book. This provides an easy-to-use software tool and contains data sets from the cases and exercises downloaded in Excel and Lotus 123. Clear explanations for the use of Minitab, SPSS, Lotus 123 and Excel are provided within each chapter and topic.
Provide your students with a strong conceptual understanding of the critical role that quantitative methods play in today's decision-making process with the well-respected QUANTITATIVE METHODS FOR BUSINESS, 12E by award-winning authors Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann. Written with the non-mathematician in mind, this applications-oriented text clearly introduces today's many 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 pertinent, actual examples throughout that illustrate key situations where quantitative methods make a difference in decision making. QUANTITATIVE METHODS FOR BUSINESS, 12E provides everything your students need for success from the authors hallmark Problem-Scenario Approach that helps readers understand and apply mathematical concepts and techniques. Instant online access provides students with Excel worksheets, TreePlan, Crystal Ball, Premium Solver for Excel, and LINGO. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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.