Prepared by John Loucks of St. Edward's University, the Study Guide will provide the student with significant supplementary study materials. It contains an outline, review and list of formulas each text chapter, sample exercises with step-by-step solutions, exercises with answers, and a series of self-testing questions with answers. The Study Guide may be purchased at a special price when bundled with the textbook.
Quantitative Methods for Business: The A-Z of QM will enable readers to: *Appreciate the significance of quantitative methods for businesses and the study of business *Understand and apply a wide range of quantitative techniques *Select appropriate quantitative techniques for data analysis, problem solving and decision making *Interpret and communicate the results of quantitative analysis
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.
The new edition of Quantitative Methods for Business and Management offers a complete introductory course in Quantitative Methods, providing students with basic practical experience in quantitative approaches in modelling and analysis for business and management. The book features sections on foundation topics, models for business and management, and modelling and analyzing decisions. In particular, the new edition features greater coverage of statistics to reflect teaching in this area, with chapters on Elementary Statistics, Summary Statistics and Inferential Statistics. Other new areas of coverage in the second edition include Network Models and Non-linear Models. The book retains its popular style which offers students numerous examples accompanied by clear and straightforward explanations. Excel examples are also integrated throughout to help students to understand how this software tool is used by managers, and frequent questions and exercises enable students to test their understanding. A free CD contains Excel applications and solutions to the exercises in the textbook, and a full online learning centre completes an excellent learning package for business students.
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.
Quantitative Methods for Business and Management Students takes you on a journey though the techniques required to succeed in business and management. With a user-friendly and accessible writing style, John Buglear presents these techniques simply and provides numerous examples to enable you to relate the theory to real-life applications.
Taking a non-threatening, non-theoretical approach to a subject students often find difficult, this book avoids rigorous mathematics and concentrates on applying quantitative ideas to the work situation.
From a range of study guides for business degree students combining a user-friendly style of a study guide with the detail of a textbook. It is a blend that reflects the changing university environment in which self-study is becoming increasingly important. This revised edition features the use of icons to signpost the student through the book, case examples to illustrate technical points, over 100 multiple-choice questions, and exam style questions.
From a range of study guides for business degree students combining a user-friendly style of a study guide with the detail of a textbook. It is a blend that reflects the changing university environment in which self-study is becoming increasingly important. This revised edition features the use of icons to signpost the student through the book, case examples to illustrate technical points, over 100 multiple-choice questions, and exam-style questions.
