The Manager's Guide to Statistics and Quantitative Methods
Author | : Donald W. Kroeber |
Publisher | : |
Total Pages | : 368 |
Release | : 1980 |
Genre | : Business |
ISBN | : 9780717285112 |
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Author | : Donald W. Kroeber |
Publisher | : |
Total Pages | : 368 |
Release | : 1980 |
Genre | : Business |
ISBN | : 9780717285112 |
Author | : Miguel Ángel Canela |
Publisher | : Springer |
Total Pages | : 142 |
Release | : 2019-07-03 |
Genre | : Business & Economics |
ISBN | : 3030175545 |
This book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems. Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book’s website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes.
Author | : David Kremelberg |
Publisher | : SAGE Publications |
Total Pages | : 529 |
Release | : 2010-03-18 |
Genre | : Social Science |
ISBN | : 150631791X |
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Author | : Paolo Brandimarte |
Publisher | : John Wiley & Sons |
Total Pages | : 812 |
Release | : 2012-01-03 |
Genre | : Mathematics |
ISBN | : 111802348X |
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.
Author | : Erol Peköz |
Publisher | : pekozbooks |
Total Pages | : 484 |
Release | : 2018-04-03 |
Genre | : Business & Economics |
ISBN | : 0979570425 |
Finally, an introduction to statistics for aspiring managers, leaders and decision makers who do not need to know all the details of statistical theory and just want real applications and commonsense explanations using words and diagrams -- without a jumble of Greek letters and mathematical formulas. The focus is on conceptual understanding, simplicity, and counterintuitive phenomena that can occur. This textbook is for an undergraduate or MBA introductory statistics course and covers summary statistics, probability, hypothesis testing, correlation, multiple regression, and includes an Excel add-in for histograms and stepwise regression. The author Erol Peköz teaches on the faculty of the Boston University School of Management and is the author of numerous technical articles and the recent book A Second Course in Probability.
Author | : John Buglear |
Publisher | : Routledge |
Total Pages | : 698 |
Release | : 2004 |
Genre | : Business & Economics |
ISBN | : 0750658983 |
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
Author | : Michael Cuming |
Publisher | : Kings Ripton, Cambridgeshire : Elm |
Total Pages | : 481 |
Release | : 1984-01-01 |
Genre | : Management |
ISBN | : 9780946139019 |
Author | : Erol A. Pekoz |
Publisher | : Probabilitybookstore.com |
Total Pages | : 406 |
Release | : 2009-03-01 |
Genre | : Business & Economics |
ISBN | : 9780979570438 |
Finally, an introduction to statistics for aspiring managers, leaders and decision makers who do not need to know all the details of statistical theory and just want real applications and commonsense explanations using words and diagrams -- without a jumble of Greek letters and mathematical formulas. The focus is on conceptual understanding, simplicity, and counterintuitive phenomena that can occur. This textbook is for an undergraduate or MBA introductory statistics course and covers summary statistics, probability, hypothesis testing, correlation, multiple regression, and includes an Excel add-in for histograms and stepwise regression. The author Erol Pekz teaches on the faculty of the Boston University School of Management and is the author of numerous technical articles and the recent book A Second Course in Probability.