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Author: Robert A. Stine Publisher: Springer Science & Business Media ISBN: 1461206839 Category : Mathematics Languages : en Pages : 360
Book Description
Preface Statistics is seldom the most eagerly anticipated course of a business student. It typically has the reputation ofbeing aboring, complicated, and confusing mix of mathematical formulas and computers. Our goal in writing this casebook and the companion volume (Basic Business Statistics) was to change that impression by showing how statistics gives insights and answers interesting business questions. Rather than dwell on underlying formulas, we show how to use statistics to answer questions. Each case study begins with a business question and concludes with an answer. Formulas appear only as needed to address the questions, and we focus on the insights into the problem provided by the mathematics. The mathematics serves a purpose. The material is organized into 12 "classes" of related case studies that develop a single, key idea of statistics. The analysis of data using statistics is seldom very straightforward, and each analysis has many nuances. Part ofthe appeal ofstatistics is this richness, this blending of substantive theories and mathematics. For a newcomer, however, this blend is too rich and they are easily overwhelmed and unable to sort out the important ideas from nuances. Although later cases in these notes suggest this complexity, we do not begin that way. Each class has one main idea, something big like standard error. We begin a class by discussing an application chosen to motivate this key concept, and introduce the necessary terminology.
Author: Robert A. Stine Publisher: Springer Science & Business Media ISBN: 1461206839 Category : Mathematics Languages : en Pages : 360
Book Description
Preface Statistics is seldom the most eagerly anticipated course of a business student. It typically has the reputation ofbeing aboring, complicated, and confusing mix of mathematical formulas and computers. Our goal in writing this casebook and the companion volume (Basic Business Statistics) was to change that impression by showing how statistics gives insights and answers interesting business questions. Rather than dwell on underlying formulas, we show how to use statistics to answer questions. Each case study begins with a business question and concludes with an answer. Formulas appear only as needed to address the questions, and we focus on the insights into the problem provided by the mathematics. The mathematics serves a purpose. The material is organized into 12 "classes" of related case studies that develop a single, key idea of statistics. The analysis of data using statistics is seldom very straightforward, and each analysis has many nuances. Part ofthe appeal ofstatistics is this richness, this blending of substantive theories and mathematics. For a newcomer, however, this blend is too rich and they are easily overwhelmed and unable to sort out the important ideas from nuances. Although later cases in these notes suggest this complexity, we do not begin that way. Each class has one main idea, something big like standard error. We begin a class by discussing an application chosen to motivate this key concept, and introduce the necessary terminology.
Author: J. Holton Wilson Publisher: Business Expert Press ISBN: 160649435X Category : Business & Economics Languages : en Pages : 144
Book Description
The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. This book will teach you the essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The authors take a non-theoretical treatment that is accessible even if you have a limited statistical background. It is specifically designed to teach the correct use of regression, while advising you of its limitations and teaching about common pitfalls. This book describes exactly how regression models are developed and evaluated —where real data is used, instead of contrived textbook-like problems. Completing this book will allow you to understand and build basic business/economic models using regression analysis. You will be able to interpret the output of those models and you will be able to evaluate the models for accuracy and shortcomings. Even if you never build a model yourself, at some point in your career it is likely that you will find it necessary to interpret one; this book will make that possible. Included are instructions for using Microsoft Excel to build business/economic models using regression analysis with an appendix using screen shots and step-by-step instructions.
Author: T.D. Stanley Publisher: Routledge ISBN: 1136279393 Category : Business & Economics Languages : en Pages : 201
Book Description
The purpose of this book is to introduce novice researchers to the tools of meta-analysis and meta-regression analysis and to summarize the state of the art for existing practitioners. Meta-regression analysis addresses the rising "Tower of Babel" that current economics and business research has become. Meta-analysis is the statistical analysis of previously published, or reported, research findings on a given hypothesis, empirical effect, phenomenon, or policy intervention. It is a systematic review of all the relevant scientific knowledge on a specific subject and is an essential part of the evidence-based practice movement in medicine, education and the social sciences. However, research in economics and business is often fundamentally different from what is found in the sciences and thereby requires different methods for its synthesis—meta-regression analysis. This book develops, summarizes, and applies these meta-analytic methods.
Author: Allen Webster Publisher: Routledge ISBN: 1136593098 Category : Business & Economics Languages : en Pages : 488
Book Description
Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used. Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation of software, while also demonstrating the logic, reasoning, and calculations that lie behind any statistical analysis. Furthermore, the text emphasizes the application of regression tools to real-life business concerns. This multilayered, yet pragmatic approach fully equips students to derive the benefit and meaning of a regression analysis. This text is designed to serve in a second undergraduate course in statistics, focusing on regression and its component features. The material presented in this text will build from a foundation of the principles of data analysis. Although previous exposure to statistical concepts would prove helpful, all the material needed for an examination of regression analysis is presented here in a clear and complete form.
Author: Terry E. Dielman Publisher: South Western Educational Publishing ISBN: Category : Business & Economics Languages : en Pages : 600
Book Description
Disk includes: Data sets for the exercises in the text, formatted in ASCII, MINITAB, SAS, Microsoft Excel, and STATA form and accessible to any statistical software package.
Author: Edward W. Frees Publisher: ISBN: 9780132199810 Category : Análisis de regresión Languages : en Pages : 714
Book Description
Designed especially for business and social science students who are familiar with the fundamentals of statistics, this text explores both the theory and practice of regression analysis - proficient in handling the analysis of large data sets. It describes the interaction between data analysis and regression models used to represent the data - to help students learn how to analyze regression data, understand regression models, and how to specify an appropriate model to represent a data set. The main narrative in each chapter stresses application and interpretation of results in applied statistical methods from a user's point of view. Principles are introduced as needed for various applications.
Author: Conrad George Carlberg Publisher: Que Publishing ISBN: 9780789725523 Category : Business & Economics Languages : en Pages : 510
Book Description
Take control of the bottom line using expert techniques and Excel's powerful financial capabilities! Whether you own a small business or work for a large corporation; whether you are looking for help making financial and business decisions -- this book is for you. Business Analysis with Microsoft Excel, Second Editionprovides in-depth information that will maximize your use of the tools within Excel. Professional advice and guidance from an experienced author provide the answers to your most pressing questions.
Author: Robert A. Stine
Author: Robert A. Stine
Author: J. Holton Wilson
Author: Foster
Author: Robert A Stine
Author: T.D. Stanley
Author: Allen Webster
Author: Terry E. Dielman
Author: Edward W. Frees
Author: Robert A. Stine
Author: Conrad George Carlberg