Statistics for Modern Business Decisions PDF Download

Author: Lapin0155006304
Publisher: Wadsworth Publishing Company
ISBN: 9780534510633
Category : Business & Economics
Languages : en
Pages : 356

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Book Description
This book offers concise coverage of descriptive and inferential statistics and basic methods found in the one semester course. It contains early introduction to survey sampling and case studies appears throughout.

Author: Lorna M. Daniells
Publisher: Univ of California Press
ISBN: 9780520081802
Category : Business & Economics
Languages : en
Pages : 754

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Book Description
This is the reference work that librarians and business people have been waiting for--Lorna Daniells's updated guide to selected business books and reference sources. Completely revised, with the best, most recent information available, this edition contains several new sections covering such topics as competitive intelligence, economic and financial measures, and health care marketing. Handbooks, bibliographies, indexes and abstracts, online databases, dictionaries, directories, statistical sources, and periodicals are also included. Speedy access to up-to-date information is essential in the competitive, computerized business world. This classic guide will be indispensable to anyone doing business research today.

Author: Ignacio Castillo
Publisher: John Wiley & Sons
ISBN: 1119983223
Category :
Languages : en
Pages : 850

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Book Description
Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.

Author: Justin Bateh
Publisher: Business Expert Press
ISBN: 1631572733
Category : Business & Economics
Languages : en
Pages : 214

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Book Description
More and more organizations around the globe are expecting that professionals will make data-driven decisions. Employees, team leaders, managers, and executives that can think quantitatively should be in high demand. The goal of this book is to increase ability to identify a problem, collect data, organize, and analyze data that will help aid in making more effective decisions. This book will provide you with a solid foundation for thinking quantitatively within your company. To help facilitate this objective, this book follows two fictitious companies that encounter a series of business problems, while demonstrating how managers would use the concepts in the book to solve these problems and determine the next course of action. This book is for beginners and does not require prior statistical training. All computations will be completed using Microsoft Excel.

Author: Charles L. Olson
Publisher: Pearson Scott Foresman
ISBN:
Category : Business & Economics
Languages : en
Pages : 952

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Book Description

Author: Dominik Jung
Publisher: Springer Nature
ISBN: 3031599071
Category : Business
Languages : en
Pages : 312

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Book Description
This book illustrates and explains the key concepts of business data analytics from scratch, tackling the day-to-day challenges of a business data analyst. It provides you with all the professional tools you need to predict online shop sales, to conduct A/B tests on marketing campaigns, to generate automated reports with PowerPoint, to extract datasets from Wikipedia, and to create interactive analytics Web apps. Alongside these practical projects, this book provides hands-on coding exercises, case studies, the essential programming tools and the CRISP-DM framework which you'll need to kickstart your career in business data analytics. The different chapters prioritize practical understanding over mathematical theory, using realistic business data and challenges of the Junglivet Whisky Company to intuitively grasp key concepts and ideas. Designed for beginners and intermediates, this book guides you from business data analytics fundamentals to advanced techniques, covering a large number of different techniques and best-practices which you can immediately exploit in your daily work. The book does not assume that you have an academic degree or any experience with business data analytics or data science. All you need is an open mind, willingness to puzzle and think mathematically, and the willingness to write some R code. This book is your all-in-one resource to become proficient in business data analytics with R, equipped with practical skills for the real world.

Author: Amar Sahay
Publisher: Business Expert Press
ISBN: 1631573322
Category : Business & Economics
Languages : en
Pages : 206

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Book Description
Business Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance. The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications.

Author: J. K. Sharma
Publisher: Pearson Education India
ISBN: 9788177586541
Category : Business & Economics
Languages : en
Pages : 752

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Book Description
In this edition, efforts have been made to assist readers in converting data into useful information that can be used by decision-makers in making more thoughtful, information-based decisions.

Author: Rajendra P. Srivastava
Publisher: Physica
ISBN: 3790817988
Category : Business & Economics
Languages : en
Pages : 356

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Book Description
The book focuses on applications of belief functions to business decisions. Section I introduces the intuitive, conceptual and historical development of belief functions. Three different interpretations (the marginally correct approximation, the qualitative model, and the quantitative model) of belief functions are investigated, and rough set theory and structured query language (SQL) are used to express belief function semantics. Section II presents applications of belief functions in information systems and auditing. Included are discussions on how a belief-function framework provides a more efficient and effective audit methodology and also the appropriateness of belief functions to represent uncertainties in audit evidence. The third section deals with applications of belief functions to mergers and acquisitions; financial analysis of engineering enterprises; forecast demand for mobile satellite services; modeling financial portfolios; and economics.

Author: J.K. Sharma
Publisher: Vikas Publishing House
ISBN: 9325980819
Category : Business & Economics
Languages : en
Pages : 737

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Book Description
The fourth edition of Business Statistics builds upon the easy-to-understand, problem-solving approach that was the hallmark of the previous editions. Through detailed discussions on procedures that facilitate interpretation of data, this book enables readers to make more considered and informed business decisions. Using tools of application and practice in a variety of solved examples and practice problems, this book will sharpen the students’ understanding of basic statistical techniques. Business Statistics, 4e, serves as a core textbook for students of management, commerce and computer science studying business statistics for degrees in BBA/MBA/PGDBM, BCom /MCom, CA/ICWA, and BE/ BTech /MCA as well as for those preparing for professional and competitive examinations. Key Features • Learning Objectives clearly outline the learning outcomes of each chapter • Case Studies illustrate a variety of business situations and suggest solutions to managerial issues using specific statistical techniques • A Chapter Concepts Quiz at the end of each chapter reinforces students' understanding of the basic principles and applications • Conceptual Questions, Self-Practice Problems, Review Self-Practice Problems with Hint and Answers enable students, after each chapter, to practice and then evaluate themselves