Author: Cynthia Fraser
Publisher: Springer Science & Business Media
ISBN: 144199856X
Category : Business & Economics
Languages : en
Pages : 470
Book Description
In a revised and updated edition, this popular book shows readers how to build models using logic and experience, offers shortcuts for producing statistics using Excel 2010, and provides many real-world examples focused on business in emerging global markets.
Business Statistics for Competitive Advantage with Excel 2010
Author: Cynthia Fraser
Publisher: Springer Science & Business Media
ISBN: 144199856X
Category : Business & Economics
Languages : en
Pages : 470
Book Description
In a revised and updated edition, this popular book shows readers how to build models using logic and experience, offers shortcuts for producing statistics using Excel 2010, and provides many real-world examples focused on business in emerging global markets.
Publisher: Springer Science & Business Media
ISBN: 144199856X
Category : Business & Economics
Languages : en
Pages : 470
Book Description
In a revised and updated edition, this popular book shows readers how to build models using logic and experience, offers shortcuts for producing statistics using Excel 2010, and provides many real-world examples focused on business in emerging global markets.
Business Statistics for Competitive Advantage with Excel 2007
Author: Cynthia Fraser
Publisher: Springer Science & Business Media
ISBN: 0387744029
Category : Mathematics
Languages : en
Pages : 418
Book Description
Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. Statistics are created to make better decisions. Statistics are essential and relevant. Statistics must be easily and quickly produced using widely available software, Excel. Then results must be translated into general business language and illustrated with compelling graphics to make them understandable and usable by decision makers. This book helps students master this process of using statistics to create competitive advantages as decision makers. Statistics are essential, relevant, easy to produce, easy to understand, valuable, and fun, when used to create competitive advantage. The Examples, Assignments, And Cases Used To Illustrate Statistics For Decision Making Come From Business Problems McIntire Corporate Sponsors and Partners, such as Rolls-Royce, Procter & Gamble, and Dell, and the industries that they do business in, provide many realistic examples. The book also features a number of examples of global business problems, including those from important emerging markets in China and India. It is exciting to see how statistics are used to improve decision making in real and important business decisions. This makes it easy to see how statistics can be used to create competitive advantages in similar applications in internships and careers. Learning Is Hands On With Excel and Shortcuts
Publisher: Springer Science & Business Media
ISBN: 0387744029
Category : Mathematics
Languages : en
Pages : 418
Book Description
Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. Statistics are created to make better decisions. Statistics are essential and relevant. Statistics must be easily and quickly produced using widely available software, Excel. Then results must be translated into general business language and illustrated with compelling graphics to make them understandable and usable by decision makers. This book helps students master this process of using statistics to create competitive advantages as decision makers. Statistics are essential, relevant, easy to produce, easy to understand, valuable, and fun, when used to create competitive advantage. The Examples, Assignments, And Cases Used To Illustrate Statistics For Decision Making Come From Business Problems McIntire Corporate Sponsors and Partners, such as Rolls-Royce, Procter & Gamble, and Dell, and the industries that they do business in, provide many realistic examples. The book also features a number of examples of global business problems, including those from important emerging markets in China and India. It is exciting to see how statistics are used to improve decision making in real and important business decisions. This makes it easy to see how statistics can be used to create competitive advantages in similar applications in internships and careers. Learning Is Hands On With Excel and Shortcuts
Business Statistics for Competitive Advantage with Excel 2013
Author: Cynthia Fraser
Publisher: Springer Science & Business Media
ISBN: 1461473810
Category : Business & Economics
Languages : en
Pages : 458
Book Description
Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2013 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2013 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. The Third Edition features Monte Carlo simulation in three chapters, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response.
Publisher: Springer Science & Business Media
ISBN: 1461473810
Category : Business & Economics
Languages : en
Pages : 458
Book Description
Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2013 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2013 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. The Third Edition features Monte Carlo simulation in three chapters, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response.
Business Statistics for Competitive Advantage with Excel 2016
Author: Cynthia Fraser
Publisher: Springer
ISBN: 3319321854
Category : Business & Economics
Languages : en
Pages : 482
Book Description
The revised Fourth Edition of this popular textbook is redesigned with Excel 2016 to encourage business students to develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2016 with shortcuts, and translate results into implications for decision makers. The textbook features new examples and assignments on global markets, including cases featuring Chipotle and Costco. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China, and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. The author emphasises communicating results effectively in plain English and with screenshots and compelling graphics in the form of memos and PowerPoints. Chapters include screenshots to make it easy to conduct analyses in Excel 2016. PivotTables and PivotCharts, used frequently in business, are introduced from the start. The Fourth Edition features Monte Carlo simulation in four chapters, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, auto-correlation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response.
Publisher: Springer
ISBN: 3319321854
Category : Business & Economics
Languages : en
Pages : 482
Book Description
The revised Fourth Edition of this popular textbook is redesigned with Excel 2016 to encourage business students to develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2016 with shortcuts, and translate results into implications for decision makers. The textbook features new examples and assignments on global markets, including cases featuring Chipotle and Costco. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China, and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. The author emphasises communicating results effectively in plain English and with screenshots and compelling graphics in the form of memos and PowerPoints. Chapters include screenshots to make it easy to conduct analyses in Excel 2016. PivotTables and PivotCharts, used frequently in business, are introduced from the start. The Fourth Edition features Monte Carlo simulation in four chapters, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, auto-correlation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response.
Business Statistics for Competitive Advantage with Excel and JMP
Author: Cynthia Fraser
Publisher: Springer Nature
ISBN: 3031425553
Category :
Languages : en
Pages : 291
Book Description
Publisher: Springer Nature
ISBN: 3031425553
Category :
Languages : en
Pages : 291
Book Description
Business Statistics for Competitive Advantage with Excel 2010
Author: Cynthia Fraser
Publisher: Springer Science & Business Media
ISBN: 1441998578
Category : Business & Economics
Languages : en
Pages : 470
Book Description
Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2010 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2010 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. Monte Carlo simulation is introduced early, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response, and a chapter on logit regression models introduces models of market share or proportions. The Second Edition includes more explanation of hypothesis tests and confidence intervals, how t, F, and chi square distributions behave. The Data Files, Solution Files, and Chapter PowerPoints: The data files for text examples, cases, lab problems and assignments are stored on Blackboard and may be accessed using this link: https://blackboard.comm.virginia.edu/webapps/portal/frameset.jsp Instructors can gain access to the files, as well as solution files and chapter PowerPoints by registering on the Springer site: http://www.springer.com/statistics/business%2C+economics+%26+finance/book/978-1-4419-9856-9?changeHeader Business people can gain access to the files by emailing the author [email protected]. https://blackboard.comm.virginia.edu/webapps/portal/frameset.jsp Instructors can gain access to the files, as well as solution files and chapter PowerPoints by registering on the Springer site: http://www.springer.com/statistics/business%2C+economics+%26+finance/book/978-1-4419-9856-9?changeHeader Business people can gain access to the files by emailing the author [email protected].
Publisher: Springer Science & Business Media
ISBN: 1441998578
Category : Business & Economics
Languages : en
Pages : 470
Book Description
Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2010 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2010 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. Monte Carlo simulation is introduced early, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response, and a chapter on logit regression models introduces models of market share or proportions. The Second Edition includes more explanation of hypothesis tests and confidence intervals, how t, F, and chi square distributions behave. The Data Files, Solution Files, and Chapter PowerPoints: The data files for text examples, cases, lab problems and assignments are stored on Blackboard and may be accessed using this link: https://blackboard.comm.virginia.edu/webapps/portal/frameset.jsp Instructors can gain access to the files, as well as solution files and chapter PowerPoints by registering on the Springer site: http://www.springer.com/statistics/business%2C+economics+%26+finance/book/978-1-4419-9856-9?changeHeader Business people can gain access to the files by emailing the author [email protected]. https://blackboard.comm.virginia.edu/webapps/portal/frameset.jsp Instructors can gain access to the files, as well as solution files and chapter PowerPoints by registering on the Springer site: http://www.springer.com/statistics/business%2C+economics+%26+finance/book/978-1-4419-9856-9?changeHeader Business people can gain access to the files by emailing the author [email protected].
Measuring the Impact of Microcredit Programs in Albania
Author: Forcim Kola
Publisher: Cambridge Scholars Publishing
ISBN: 1443862711
Category : Business & Economics
Languages : en
Pages : 225
Book Description
This book highlights a range of perspectives concerning the economic and social impact of microfinance products (especially microcredit) on their clients’ lives, scientifically analysing four distinct impact levels: namely, the individual level, the household level, the enterprise level, and the community level. Microcredit services enable low income people to move their family away from poverty and towards higher living standards, by increasing their business activity, improving their employment opportunities, and contributing to sustainable economic growth and development. Investigating the Albanian market, by assessing the impact of Albanian microfinance programs at each of the four above-mentioned impact levels, this book explores whether being a client of MFIs microfinance programmes brings positive changes to their lives and their community. The book uses various data collection techniques, such as surveys, interviews, quantitative measurements of financial data, and data processing methodologies including paired t-tests and a comparison-based data analysis methodology using a control group in order to support or reject the above hypothesis.
Publisher: Cambridge Scholars Publishing
ISBN: 1443862711
Category : Business & Economics
Languages : en
Pages : 225
Book Description
This book highlights a range of perspectives concerning the economic and social impact of microfinance products (especially microcredit) on their clients’ lives, scientifically analysing four distinct impact levels: namely, the individual level, the household level, the enterprise level, and the community level. Microcredit services enable low income people to move their family away from poverty and towards higher living standards, by increasing their business activity, improving their employment opportunities, and contributing to sustainable economic growth and development. Investigating the Albanian market, by assessing the impact of Albanian microfinance programs at each of the four above-mentioned impact levels, this book explores whether being a client of MFIs microfinance programmes brings positive changes to their lives and their community. The book uses various data collection techniques, such as surveys, interviews, quantitative measurements of financial data, and data processing methodologies including paired t-tests and a comparison-based data analysis methodology using a control group in order to support or reject the above hypothesis.
Handbook of Research on Global Enterprise Operations and Opportunities
Author: Khosrow-Pour, Mehdi
Publisher: IGI Global
ISBN: 1522522468
Category : Business & Economics
Languages : en
Pages : 396
Book Description
Organizational applications and managerial implications of new technology resources require a forum for the discussion of issues of best business practice and success. The Handbook of Research on Global Enterprise Operations and Opportunities is a valuable source for the latest research on global resource management with a focus on the managerial and organizational facets. Featuring coverage on a range of topics and perspectives such as global enterprise systems, IT diffusion, and global data security, this publication is ideally designed for researchers, academics, and practitioners seeking current research on approaches to successful business technology use in all countries.
Publisher: IGI Global
ISBN: 1522522468
Category : Business & Economics
Languages : en
Pages : 396
Book Description
Organizational applications and managerial implications of new technology resources require a forum for the discussion of issues of best business practice and success. The Handbook of Research on Global Enterprise Operations and Opportunities is a valuable source for the latest research on global resource management with a focus on the managerial and organizational facets. Featuring coverage on a range of topics and perspectives such as global enterprise systems, IT diffusion, and global data security, this publication is ideally designed for researchers, academics, and practitioners seeking current research on approaches to successful business technology use in all countries.
Strategic Role of Tertiary Education and Technologies for Sustainable Competitive Advantage
Author: Ordóñez de Pablos, Patricia
Publisher: IGI Global
ISBN: 1466642343
Category : Education
Languages : en
Pages : 369
Book Description
Strategic Role of Tertiary Education and Technologies for Sustainable Competitive Advantage explores how education enables social and economic development through the targeted training of human capital and the evaluation and dissemination of knowledge resources across generations. This book provides entrepreneurs, leaders, policy makers, and educators with the necessary tools to make the most of higher education in order to meet emerging economic and social challenges through the use of new technologies enabling effective collaboration and knowledge sharing.
Publisher: IGI Global
ISBN: 1466642343
Category : Education
Languages : en
Pages : 369
Book Description
Strategic Role of Tertiary Education and Technologies for Sustainable Competitive Advantage explores how education enables social and economic development through the targeted training of human capital and the evaluation and dissemination of knowledge resources across generations. This book provides entrepreneurs, leaders, policy makers, and educators with the necessary tools to make the most of higher education in order to meet emerging economic and social challenges through the use of new technologies enabling effective collaboration and knowledge sharing.
Predictive Analytics
Author: Conrad Carlberg
Publisher: Que Publishing
ISBN: 013468382X
Category : Business & Economics
Languages : en
Pages : 585
Book Description
EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS! Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you don’t need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code–much of it open-source–to streamline especially complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. Learn the “how” and “why” of using data to make better decisions, and choose the right technique for each problem Capture live real-time data from diverse sources, including third-party websites Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” Distinguish random data bounces from real, fundamental changes Forecast time series with smoothing and regression Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results
Publisher: Que Publishing
ISBN: 013468382X
Category : Business & Economics
Languages : en
Pages : 585
Book Description
EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS! Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you don’t need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code–much of it open-source–to streamline especially complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. Learn the “how” and “why” of using data to make better decisions, and choose the right technique for each problem Capture live real-time data from diverse sources, including third-party websites Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” Distinguish random data bounces from real, fundamental changes Forecast time series with smoothing and regression Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results