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Author: Glyn Davis Publisher: OUP Oxford ISBN: 9780199556892 Category : Business & Economics Languages : en Pages : 640
Book Description
Business Statistics Using Excel is packed full of examples and integrated Excel screenshots, guiding students step-by-step through the theory and methods behind the use of statistics in the real world. Student exercises running throughout each chapter serve to engage students and encourage self-directed learning and testing.
Author: Glyn Davis Publisher: OUP Oxford ISBN: 9780199556892 Category : Business & Economics Languages : en Pages : 640
Book Description
Business Statistics Using Excel is packed full of examples and integrated Excel screenshots, guiding students step-by-step through the theory and methods behind the use of statistics in the real world. Student exercises running throughout each chapter serve to engage students and encourage self-directed learning and testing.
Author: Nick Lee Publisher: SAGE ISBN: 1473943884 Category : Business & Economics Languages : en Pages : 886
Book Description
Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.′ - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems. Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha′s Story" help bring the study of statistics alive. A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know Think it over get students to stop, engage and reflect upon the different connections between topics A range of online resources including a set of data files and templates for the reader following in-text examples, downloadable worksheets and instructor materials, answers to in-text exercises and video content compliment the book. An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
Author: Thomas J. Quirk Publisher: Springer Nature ISBN: 3030392783 Category : Mathematics Languages : en Pages : 260
Book Description
Newly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2016 for Engineering Statistics, this volume is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. Excel, a widely available computer program for students and professionals, is also an effective teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Engineering Statistics capitalizes on these improvements by teaching readers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. This new edition features a wealth of new sample problems and solutions, as well as updated chapter content throughout.
Author: Glyn Davis Publisher: Oxford University Press ISBN: 0199659516 Category : Business & Economics Languages : en Pages : 505
Book Description
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: Alexander Holmes Publisher: ISBN: Category : Business & Economics Languages : en Pages : 1801
Book Description
Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author: Linda Herkenhoff Publisher: Springer Science & Business Media ISBN: 1461484235 Category : Computers Languages : en Pages : 426
Book Description
Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.
Author: David L. Eldredge Publisher: South Western Educational Publishing ISBN: 9780538890885 Category : Business Languages : en Pages : 0
Book Description
Using a familiar tool, such as Excel, enhances the business professionals ability to make better business decisions leading to future success. This manual provides step-by-step instructions for using Excel to solve most of the problems for business statistics. It presents many visual examples of computer screen captures. These show data input, pull-down menus, dialog boxes and statistical results.
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.
Author: Gerald Knight Publisher: "O'Reilly Media, Inc." ISBN: 0596553463 Category : Computers Languages : en Pages : 265
Book Description
As one of the most widely used desktop applications ever created, Excel is familiar to just about everyone with a computer and a keyboard. Yet most of us don't know the full extent of what Excel can do, mostly because of its recent growth in power, versatility, and complexity. The truth is that there are many ways Excel can help make your job easier-beyond calculating sums and averages in a standard spreadsheet. Analyzing Business Data with Excel shows you how to solve real-world business problems by taking Excel's data analysis features to the max. Rather than focusing on individual Excel functions and features, the book keys directly on the needs of business users. Most of the chapters start with a business problem or question, and then show you how to create pointed spreadsheets that address common data analysis issues. Aimed primarily at experienced Excel users, the book doesn't spend much time on the basics. After introducing some necessary general tools, it quickly moves into more specific problem areas, such as the following: Statistics Pivot tables Workload forecasting Modeling Measuring quality Monitoring complex systems Queuing Optimizing Importing data If you feel as though you're getting shortchanged by your overall application of Excel, Analyzing Business Data with Excel is just the antidote. It addresses the growing Excel data analysis market head on. Accountants, managers, analysts, engineers, and supervisors-one and all-will learn how to turn Excel functionality into actual solutions for the business problems that confront them.
Author: Glyn Davis
Author: Glyn Davis
Author: Nick Lee
Author: Thomas J. Quirk
Author: Glyn Davis
Author: Alexander Holmes
Author: Linda Herkenhoff
Author: David L. Eldredge
Author: Cynthia Fraser
Author: Cynthia Fraser
Author: Gerald Knight