Study Guide and Solutions Manual for Statistics for Managers Using Microsoft Excel
暫譯: 使用 Microsoft Excel 的管理統計學學習指南與解答手冊

David M. Levine is Professor Emeritus of Statistics and Computer Information Systems at Baruch College (City University of New York). He received B.B.A. and M.B.A. degrees in statistics from City College of New York and a Ph.D. from New York University in industrial engineering and operations research. He is nationally recognized 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, currently in its second edition, 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, all published by FT Press, a Pearson imprint, and Quality Management, third edition, McGraw-Hill/Irwin. He is also the author of Video Review of Statistics and Video Review of Probability, both published by Video Aided Instruction, 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. David Levine has also received several awards for outstanding teaching and curriculum development from Baruch College.

David F. Stephan is an independent instructional technologist. He was an Instructor/Lecturer of Computer Information Systems at Baruch College (City University of New York) for over 20 years and also served as an Assistant to the Provost and to the Dean of the School of Business & Public Administration for computing. He pioneered the use of computer classrooms for business teaching, devised interdisciplinary multimedia tools, and created techniques for teaching computer applications in a business context. He also conducted the first large-scale controlled experiment to show the benefit of teaching Microsoft Excel in a business case context to undergraduate students.

An avid developer, he created multimedia courseware while serving as the Assistant Director of a Fund for the Improvement of Postsecondary Education (FIPSE) project at Baruch College. Stephan is also the originator of PHStat, the Pearson Education statistical add-in for Microsoft Excel and a co-author of Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics and Practical Statistics by Example Using Microsoft Excel and Minitab. He is currently developing ways to extend the instructional materials that he and his co-authors develop to mobile and cloud computing platforms as well as develop social-media facilitated means to support learning in introductory business statistics courses.

David Stephan received a B.A. in geology from Franklin and Marshall College and a M.S. in computer methodology from Baruch College (City University of New York).

Kathryn A. Szabat is Associate Professor and Chair of Business Systems and Analytics at LaSalle University. She teaches undergraduate and graduate courses in business statistics and operations management. She also teaches as Visiting Professor at the Ecole Superieure de Commerce et de Management (ESCEM) in France.

Szabat's research has been published in International Journal of Applied Decision Sciences, Accounting Education, Journal of Applied Business and Economics, Journal of Healthcare Management, and Journal of Management Studies. Scholarly chapters have appeared in Managing Adaptability, Intervention, and People in Enterprise Information Systems; Managing, Trade, Economies and International Business; Encyclopedia of Statistics in Behavioral Science; and Statistical Methods in Longitudinal Research.

She has provided statistical advice to numerous business, non-business, and academic communities. Her more recent involvement has been in the areas of education, medicine, and nonprofit capacity building.

Kathryn Szabat received a B.S. in mathematics from State University of New York at Albany and M.S. and Ph.D. degrees in statistics, with a cognate in operations research, from the Wharton School of the University of Pennsylvania.

大衛·M·萊文是紐約市立大學巴魯克學院統計學與計算機資訊系的名譽教授。他在紐約市立大學獲得統計學的商業管理學士（B.B.A.）和工商管理碩士（M.B.A.）學位，並在紐約大學獲得工業工程與運籌學的博士學位。他在統計教育方面被全國認可為領先的創新者，並且是14本書的共同作者，包括一些暢銷的統計教科書，如使用 Microsoft Excel 的管理者統計學、基本商業統計：概念與應用、商業統計：第一課和使用 Microsoft Excel 和 Minitab 的工程師與科學家的應用統計學。 他還是即使你也能學會統計學：給所有曾經害怕統計學的人的指南的共同作者，目前已進入第二版，以及綠帶與冠軍的六標準差和綠帶與冠軍的六標準差設計，還有六標準差綠帶的統計學的作者，這些書籍均由FT Press（培生出版集團）出版，以及第三版的品質管理，由McGraw-Hill/Irwin出版。他還是統計學視頻回顧和機率視頻回顧的作者，這兩本書均由視頻輔助教學出版，並且是Cengage Learning出版的MBA入門書的統計模組的作者。他在多個期刊上發表過文章，包括心理計量學、 美國統計學家、 統計通訊、 決策科學創新教育期刊、多變量行為研究、 系統管理期刊、 品質進展和美國人類學家，並在決策科學學會（DSI）、美國統計學會（ASA）和讓統計在學校和商業中更有效（MSMESB）會議上發表過多次演講。大衛·萊文還因其卓越的教學和課程開發獲得了巴魯克學院的多項獎項。 大衛·F·斯蒂芬是一位獨立的教學技術專家。他在紐約市立大學巴魯克學院擔任計算機資訊系的講師/講師超過20年，並且曾擔任教務長助理和商業與公共行政學院計算機的院長助理。他開創了商業教學中計算機教室的使用，設計了跨學科的多媒體工具，並創造了在商業背景下教授計算機應用的技術。他還進行了第一個大規模的控制實驗，以顯示在商業案例背景下教授Microsoft Excel對本科生的好處。 作為一名熱衷的開發者，他在擔任巴魯克學院高等教育改善基金（FIPSE）項目的助理主任期間創建了多媒體課程材料。斯蒂芬還是PHStat的創始人，這是培生教育為Microsoft Excel提供的統計附加元件，並且是即使你也能學會統計學：給所有曾經害怕統計學的人的指南和使用 Microsoft Excel 和 Minitab 的實用統計學示例的共同作者。他目前正在開發將他和他的共同作者所開發的教學材料擴展到移動和雲計算平台的方法，並開發社交媒體促進的方式來支持入門商業統計課程的學習。 大衛·斯蒂芬獲得了法蘭克林與馬歇爾學院的地質學學士學位，以及紐約市立大學巴魯克學院的計算方法碩士學位。 凱瑟琳·A·薩巴特是拉薩爾大學商業系統與分析的副教授及系主任。她教授本科和研究生的商業統計和運營管理課程。她還在法國的高等商業與管理學院（ESCEM）擔任訪問教授。 薩巴特的研究已發表在應用決策科學國際期刊、會計教育、應用商業與經濟期刊、醫療管理期刊和管理研究期刊上。學術章節出現在企業資訊系統中的適應性管理、干預與人員管理；管理、貿易、經濟與國際商業；行為科學統計百科全書；和縱向研究中的統計方法中。 她為眾多商業、非商業和學術社群提供了統計建議。她最近的參與主要集中在教育、醫療和非營利能力建設領域。 凱瑟琳·薩巴特獲得了紐約州立大學奧爾巴尼分校的數學學士學位，以及賓夕法尼亞大學沃頓商學院的統計學碩士和博士學位，並輔修運籌學。