Overview

For one-semester courses in Introduction to Business Statistics. The gold standard in learning Microsoft Excel for business statistics Statistics for Managers Using Microsoft Excel, 9th Edition, Global Edition helps students develop the knowledge of Excel needed in future careers. The authors present statistics in the context of specific business fields, and now include a full chapter on business analytics. Guided by principles set forth by ASA's Guidelines for Assessment and Instruction (GAISE) reports and the authors' diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. Current data throughout gives students valuable practice analysing the types of data they will see in their professions, and the authors' friendly writing style includes tips and learning aids throughout. SamplesDownload the detailed table of contents Preview sample pages from Statistics for Managers Using Microsoft Excel Features Using Statistics case scenarios - Each chapter begins with a Using Statistics case scenario that presents a business problem or goal that illustrates the application of business statistics to provide actionable information. For many chapters, scenarios also provide the scaffolding for learning a series of related statistical methods. End-of-chapter 'Revisited' sections reinforce the statistical learning of a chapter by discussing how the methods and techniques can be applied to the goal or problem that the case scenario considers. Emphasis on interpretation of the data analysis results - Statistics for Managers Using Microsoft Excel was among the first introductory business statistics textbooks to focus on the interpretation of Microsoft Excel statistical results. This tradition continues, now supplemented by Tableau (Public) results for selected methods in which Tableau can enhance or complement Excel results. Software integration and flexibility - Software instructions feature chapter examples and were personally written by the authors, who collectively have more than one hundred years of experience teaching the application of business software. With modularised Workbook, PHStat, and where applicable, Analysis Toolbook instructions, both instructors and students can switch among these instruction sets as they use this book with no loss of statistical learning. Unique Excel workbooks - Statistics for Managers Using Microsoft Excel comes with Excel Guide workbooks that illustrate model solutions and provide template solutions to selected methods and Visual Explorations, macro-enhanced workbooks that demonstrate selected basic concepts. This book is fully integrated with PHStat, the Pearson statistical add-in for Excel that places the focus on statistical learning that the authors designed and developed. In chapter and end-of-chapter reinforcements - Exhibits summarise key processes throughout the book. A key terms list provides an index to the definitions of the important vocabulary of a chapter. 'Learning the Basics' questions test the basic concepts of a chapter. 'Applying the Concepts' problems test the learner's ability to apply statistical methods to business problems. And, for the more mathematically minded, 'Key Equations' list the boxed number equations that appear in a chapter. End-of-chapter cases include a case that continues through most chapters and several cases that reoccur throughout the book. 'Digital Cases' require students to examine business documents and other information sources to sift through various claims and discover the data most relevant to a business case problem. Many of these cases also illustrate common misuses of statistical information.  Answers to even-numbered problems - An appendix provides additional self-study opportunities by provides answers to the 'Self-Test' problems and most of the even-numbered problems in this book Opportunities for additional learning - In-margin student tips and Learn More references reinforce important points and direct students to additional learning resources. In-chapter Consider This essays reinforce important concepts, examine side issues, or answer questions that arise while studying business statistics, such as 'What is so 'normal' about the normal distribution?' Highly tailorable content - With an extensive library of separate online topics, sections, and even two full chapters, instructors can combine these materials and the opportunities for additional learning to meet their curricular needs. New to this edition New or revised Using Statistics case scenarios in seven chapters of the 9th Edition, Global Edition. These business scenarios begin each chapter, showing how statistics is used in accounting, finance, information systems, management, or marketing. Scenarios are then used throughout the chapter to provide an applied context for the concepts, to bring students from knowing to applying. New Tableau Guides in each chapter explain how to use the data visualisation software Tableau Public as a complement to Microsoft Excel for visualising data. The text offers Tableau Public results for selected methods in which Tableau can enhance or complement Excel results. A new Business Analytics chapter (Chapter 17) provides a complete introduction to the field of business analytics. The chapter defines terms and categories that introductory business statistics students may encounter in other courses or outside the classroom. Includes a new Consider This feature, 'What's My Major If I Want to Be a Data Miner?' Exercises have been reviewed, updated, and replaced in this edition. Tabular summaries now guide readers to reaching conclusions and making decisions based on statistical information. Found in Chapters 10 through 13, this change not only adds clarity to the purpose of the statistical method being discussed but better illustrates the role of statistics in business decision-making processes.

Full Product Details

Author:   David Levine ,  David Stephan ,  Kathryn Szabat
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   9th edition
Dimensions:   Width: 21.80cm , Height: 2.50cm , Length: 27.60cm
Weight:   1.478kg
ISBN:  

9781292338248

ISBN 10:   1292338245
Pages:   752
Publication Date:   14 August 2020
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock  
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David M. Levine is Professor Emeritus of Statistics and Computer Information Systems at Baruch College (City University of New York). He received BBA and MBA degrees in statistics from City College of New York and a PhD from New York University in industrial engineering and operations research. He is nationally recognised as a leading innovator in statistics education and is the co-author of 14 books, including such best-selling statistics textbooks as Statistics for Managers Using Microsoft Excel, Basic Business Statistics: Concepts and Applications, Business Statistics: A First Course and Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. He also is the co-author of Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics, Six Sigma for Green Belts and Champions and Design for Six Sigma for Green Belts and Champions, and the author of Statistics for Six Sigma Green Belts and Quality Management. He is also the author of Video Review of Statistics and Video Review of Probability, and the statistics module of the MBA primer published by Cengage Learning. He has published articles in various journals, including Psychometrika, The American Statistician, Communications in Statistics, Decision Sciences Journal of Innovative Education, Multivariate Behavioral Research, Journal of Systems Management, Quality Progress and The American Anthropologist, and he has given numerous talks at the Decision Sciences Institute (DSI), American Statistical Association (ASA) and Making Statistics More Effective in Schools and Business (MSMESB) conferences. Levine has also received several awards for outstanding teaching and curriculum development from Baruch College. Advances in computing have always shaped David Stephan's professional life. As an undergraduate, he helped professors use statistics software that was considered advanced even though it could compute only several things discussed in Chapter 3, thereby gaining an early appreciation for the benefits of using software to solve problems (and perhaps positively influencing his grades). A nearly advocate of using computers to support instruction, he developed a prototype of a mainframe-based system that anticipated features found today in Pearson's MathXL and served as special assistant for computing to the Dean and Provost at Baruch College. In his many years teaching at Baruch, Stephan implemented the first computer-based classroom, helped redevelop the CIS curriculum, and, as part of a FIPSE project team, designed and implemented a multimedia learning environment. He was also nominated for teaching honors. Stephan has presented at SEDSI and DSI DASI mini-conferences, sometimes with his coauthors. Stephan earned a B.A. from Franklin & Marshall College and an M.S. from Baruch College, CUNY, and completed the instructional technology graduate program at Teachers College, Columbia University. As Associate Professor of Business Systems and Analytics at La Salle University, Kathryn Szabat has transformed several business school majors into one interdisciplinary major that better supports careers in new and emerging disciplines of data analysis including analytics. Szabat strives to inspire, stimulate, challenge, and motivate students through innovation and curricular enhancements and shares her coauthors' commitment to teaching excellence and the continual improvement of statistics presentations. Beyond the classroom she has provided statistical advice to numerous business, nonbusiness, and academic communities, with particular interest in the areas of education, medicine, and non-profit capacity building. Her research activities have led to journal publications, chapters in scholarly books, and conference presentations. Szabat is a member of the American Statistical Association (ASA), DSI, Institute for Operation Research and Management Sciences (INFORMS), and DSI DASI. She received a B.S. from SUNY-Albany, an M.S. in statistics from the Wharton School of the University of Pennsylvania, and a Ph.D. in statistics, with a cognate in operations research, from the Wharton School of the University of Pennsylvania.

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