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Author : Cynthia Fraser
Publisher : Springer Nature
Page : 291 pages
File Size : 52,9 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9783031425554
Author : Cynthia Fraser
Publisher : Springer
Page : 417 pages
File Size : 44,6 Mb
Release : 2019-08-13
Category : Business & Economics
ISBN : 3030203735
The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. Students learn to build models, produce statistics, and translate results into implications for decision makers. The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods. The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP. For access to accompanying data sets, please email author Cynthia Fraser at [email protected].
Author : Cynthia Fraser
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 40,8 Mb
Release : 2008-11-12
Category : Mathematics
ISBN : 9780387744025
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
Author : Cynthia Fraser
Publisher : Springer
Page : 475 pages
File Size : 44,6 Mb
Release : 2016-08-05
Category : Business & Economics
ISBN : 9783319321851
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.
Author : Cynthia Fraser
Publisher : Springer Science & Business Media
Page : 470 pages
File Size : 41,9 Mb
Release : 2012-02-09
Category : Business & Economics
ISBN : 9781441998576
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].
Author : Cynthia Fraser
Publisher : Springer Science & Business Media
Page : 449 pages
File Size : 47,6 Mb
Release : 2013-06-18
Category : Business & Economics
ISBN : 9781461473817
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.
Author : Cynthia Fraser
Publisher : Springer Science & Business Media
Page : 470 pages
File Size : 43,9 Mb
Release : 2012-02-22
Category : Business & Economics
ISBN : 9781441998569
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.
Author : Anonim
Publisher : Unknown
Page : 488 pages
File Size : 47,7 Mb
Release : 2012-02-01
Category : Electronic
ISBN : 1441998586
Author : Glyn Davis,Branko Pecar
Publisher : Oxford University Press
Page : 505 pages
File Size : 46,7 Mb
Release : 2013-02-28
Category : Business & Economics
ISBN : 9780199659517
Offering a comprehensive, "step-by-step" approach to the subject, Business Statistics Using Excel, Second Edition, gives students the tools and skills they need to succeed in their coursework. FEATURES - "Techniques in Practice" exercises at the end of each chapter encourage self-assessment - Excel screenshots provide clear and helpful examples that illustrate how to apply Excel skills to business statistics - Full integration of Excel exercises and applications--both in the textbook and on the Companion Website--enable both classroom-led learning or self-directed study NEW TO THIS EDITION - Expanded coverage of probability and probability distributions - Updated checklists help students to link the skills to their own development portfolios - All chapters have been fully revised and updated to include additional examples, explanations, and discussion questions - Greater emphasis on employability skills, which enables students to contextualize their learning and also helps them to identify how these skills can be applied and valued in real business environments The accompanying Companion Website offers a variety of features: For students: - Introduction to Microsoft Excel 2010 - Self-test multiple-choice questions - Data from the exercises in the book - Links to key websites - Online glossary - Revision tips - Visual walk-throughs - Numerical-skills workbook: New to the second edition, this online refresher course covering basic math and Microsoft Excel helps reinforce students' confidence in their mathematical ability For instructors: - Instructor's Manual containing a guide to structuring lectures and worked-out answers to exercises in the book - PowerPoint slides - A Testbank with thirty questions per chapter
Author : John L. Neufeld
Publisher : Unknown
Page : 468 pages
File Size : 47,5 Mb
Release : 1998
Category : Business & Economics
ISBN : STANFORD:36105021629493
This is a supplemental text intended to accompany an introductory statistics textbook. Each chapter is organized around a particular statistical concept or technique. Some of the chapters contain experiments designed to permit students to explore statistical concepts by using the computer to perform experiments. The use of Excel to conduct established analytical procedures is fully covered.
Author : Conrad Carlberg
Publisher : Que Publishing
Page : 302 pages
File Size : 50,5 Mb
Release : 2012-07-02
Category : Business & Economics
ISBN : 9780132967259
Excel predictive analytics for serious data crunchers! The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don’t need multimillion-dollar software: All the tools you need are available in Microsoft Excel, 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-world problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. You’ll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code—much of it open-source—to streamline several of this book’s most 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 both the “how” and “why” of using data to make better tactical decisions • Choose the right analytics technique for each problem • Use Excel to 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 • Construct more accurate predictions by using Solver to find maximum likelihood estimates • Manage huge numbers of variables and enormous datasets with principal components analysis and Varimax factor rotation • Apply ARIMA (Box-Jenkins) techniques to build better forecasts and understand their meaning
Author : Josef Schmee,Jane E Oppenlander
Publisher : Unknown
Page : 608 pages
File Size : 42,5 Mb
Release : 2019-08-16
Category : Electronic
ISBN : 1642955159
JMP Means Business: Statistical Models for Management, by Josef Schmee and Jane Oppenlander, covers basic methods and models of classical statistics. Designed for business and MBA students, as well as industry professionals who need to use and interpret statistics, JMP Means Business covers data collection, descriptive statistics, distributions, confidence intervals and hypothesis tests, analysis of variance, contingency tables, simple and multiple regression, and exponential smoothing of time series. The easy-to-use format includes verbal and graphical explanations and promotes standard problem-solving techniques, with a limited use of formulas. Examples from business and industry serve to introduce each topic. Each example starts with a problem definition and data requirements, followed by a step-by-step analysis with JMP. Relevant output from this analysis is used to explain each method and to provide the basis for interpretation. Each chapter ends with a summary and a collection of problems for further study.
Author : David F. Groebner
Publisher : Prentice Hall
Page : 856 pages
File Size : 50,6 Mb
Release : 2001
Category : Business & Economics
ISBN : PSU:000047271852
This comprehensive text presents descriptive and inferential statistics with a rich assortment of business examples and real data and an emphasis on decision-making. There is significant emphasis on using statistical software as a tool, with most examples presented in a spreadsheet environment. Minitab and Excel is featured as well.
Author : John L. Neufeld
Publisher : Unknown
Page : 494 pages
File Size : 48,6 Mb
Release : 2001
Category : Business
ISBN : PSU:000044756215
Business statistics students at both the undergraduate and MBA level who are not experts in the use of Excel. This text is designed to reflect the important changes in the teaching of statistics brought about by the usage of computers. It takes advantage of the ability of computers to help students understand statistical methods. It uses a straightforward, step-by-step approach, and uses the computer both as a tool for solving statistical problems and as pedagogical device to help students understand difficult concepts. *Excel usage has been simplified: Less emphasis on formatting. More emphasis on helping students get the 'big picture'. *Excel is used more as a scratch pad: In the revision the approach has moved from creating worksheets which automatically solve problems to using Excel as a scratch pad for each problem that arises. *All screen captures updated to Excel 2000 and all the material has been tested on Excel 2000. *Step-by-step instructions: Detailed instructions are given as each new topic is introduced. As students become more familiar with the topics less coaching is provided. *Computer demonstrations reinforce student understanding: Students are directed to use Exce
Author : Willbann D. Terpening
Publisher : Unknown
Page : 0 pages
File Size : 46,5 Mb
Release : 2011
Category : Commercial statistics
ISBN : 1607644762
Statistical Analysis for Business Using JMP: A Student's Guide by Willbann D. Terpening is a complete and thorough introduction to business statistics using JMP. While designed for introductory business statistics courses at the undergraduate or MBA level, industry professionals wanting to brush up on their knowledge of statistics and those wanting an introduction to using JMP for statistical analysis will also find the book useful. The book starts with an introduction to using JMP in statistical analysis, basic descriptive statistics and graphical analysis, and the fundamentals of inferential statistics. The book then covers more advanced topics in inferential statistics organized around the analysis platforms of JMP. Topics include the effects of a qualitative variable on a quantitative variable (two group tests and analysis of variance), the effects of a qualitative variable on a qualitative variable (chi-square and contingency tables), the effects of a quantitative variable on a quantitative variable (simple regression and correlation), and the effects of a quantitative variable on a qualitative variable (logistic and multinomial regression). The final chapter provides an introduction to multivariate statistics and multiple regression.
