Data Analysis and Decision Making with Microsoft Excel by Christopher J. Zappe, Wayne L. Winston and Christian Albright is a fantastic statistics text book. Our statistics tutors have used various edition of this book, Data Analysis and Decision Making with Microsoft Excel by Christopher J. Zappe, Wayne L. Winston and Christian Albright, to tutor statistics to a variety of graduate students.
Data Analysis and Decision Making with Microsoft Excel is an up-to-date response to the emerging industry trend in quantitative education. It is a business-statistics and management-science textbook that integrates core statistics and management-science methods with a contemporary spreadsheet-oriented approach. The book’s focus on modeling, analysis (rather than technique) and application (excel integration), together with the Excel spreadsheet add-ins, provides both students and practicing managers with a complete knowledge source. Margin notes, boxed-in definitions, formulas, enhanced explanations and examples with stated objectives contribute to an easy study. Problem sets and case studies included in the book enhance the relevance of theory in the business world.
This text book, Data Analysis and Decision Making with Microsoft Excel by Christopher J. Zappe, Wayne L. Winston and Christian Albright also introduces a variety of tools that aid in data analysis and decision making including: Palisade’s Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, and RISKOptimizer); and SolverTable, which allows the reader to carry out sensitivity analysis.
S. Christian Albright
Christian Albright taught at the Operations and Decision Technologies Department of the Kelley School of Business, Indiana University. He received his B.S. degree in mathematics in 1968 and his Ph.D. in operations research in 1972, both from Stanford University. He taught courses in management science, computer simulation, and statistics to undergraduates, MBAs and doctoral students.
Dr. Albright’s current interest lies in spreadsheet modeling, including the development of VBA applications in Excel. He has published more than 20 articles in the area of applied probability, in leading operations research journals. He has also published a number of successful textbooks including Data Analysis and Decision Making, Data Analysis for Managers and Spreadsheet Modeling and Applications.
Wayne L. Winston
Wayne L. Winston is Emeritus Professor of Operations and Decision Technologies at the Department of Operations and Decision Technologies, Kelley School of Business, Indiana University and a visiting Professor at the University of Houston. He received his M.S. degree in mathematics from MIT and his Ph.D. in operations research from Yale University. He has won more than 45 teaching awards, including the school-wide MBA award six times.
Dr. Winston’s current interest is in showing how spreadsheet models can be used to solve business problems in all disciplines, particularly in finance, sports, and marketing. In addition to publishing more than 20 articles in leading journals, he has written successful textbooks, namely: Operations Research: Applications And Algorithms; Mathematical Programming: Applications And Algorithms; Simulation Modeling With @Risk; Data Analysis For Managers; Spreadsheet Modeling And Applications; Mathletics; Data Analysis And Business Modeling With Excel 2013; Marketing Analytics; And Financial Models Using Simulation And Optimization.
Christopher J. Zappe
Chris Zappe was named Provost of Gettysburg College in 2010. Previously he served as dean of arts and sciences at Bucknell University, where he also served as a faculty member in the department of management, teaching undergraduate courses in business statistics, decision modeling and analysis, and computer simulation. From 1988 to 1993, he researched and taught various decision sciences courses in the College of Business Administration at the University of Florida in Gainesville. He also taught advanced seminars in applied game theory, system dynamics, risk assessment, and mathematical economics.
Dr. Zappe earned a bachelor of arts in mathematics with honors from DePauw University in 1983 and an M.B.A. and Ph.D. in decision sciences from Indiana University in 1987 and 1988, respectively.
Dr. Zappe has published scholarly articles in peer-reviewed journals such as Managerial and Decision Economics, OMEGA, Naval Research Logistics, and Interfaces. He has also co-authored innovative texts in the decision sciences, including Data Analysis and Decision Making with Microsoft Excel and Managerial Statistics. His current scholarly interests focus on univariate Box-Jenkins ARIMA forecasting models, mathematical programming models of performance appraisal processes and innovative pedagogies in operations research/management science.
List of Books on Data-driven decision making
- Data Smart: Using Data Science to Transform Information into Insight 1st Edition, by John W. Foreman
- Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions by Dan Ariely
- Competing on Analytics: The New Science of Winning 1st Edition, by Thomas H. Davenport, Jeanne G. Harris
- Doing Data Science: Straight Talk from the Frontline 1st Edition, by Cathy O’Neil, Rachel Schutt
- Visual Explanations: Images and Quantities, Evidence and Narrative by Edward R. Tufte
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