Data Analysis and Decision Making with Microsoft Excel

Master data analysis, modeling, and spreadsheet use with DATA ANALYSIS AND DECISION MAKING WITH MICROSOFT EXCEL! With a teach-by-example approach, student-friendly writing style, and complete Excel integration, this quantitative methods text provides you with the tools you need to succeed. Margin notes, boxed-in definitions and formulas in the text, enhanced explanations in the text itself, and stated objectives for the examples found throughout the text make studying easy. Problem sets and cases provide realistic examples that enable you to see the relevance of the material to your future as a business leader. The CD-ROMs packaged with every new book include the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, and RISKOptimizer); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2007.

Editorial Reviews

Developed by the authors for an MBA course taught at Indiana University, this text illustrates different types of statistical methods for analyzing data sets, touching on regression analysis, decision making under uncertainty, linear programming, and simulation. The material is example-driven with statistics problems solved using commercial add-ins for Excel. The CD-ROM contains StatPro 2.0 and the Decision Tools suite of software add-ins. Annotation c. Book News, Inc., Portland, OR (booknews.com)

About The Author:

Chris Zappe earned his BA in mathematics from DePauw University in 1983 and his MBA and Ph.D. in Decision Sciences from Indiana University in 1987 and 1988, respectively. Between 1988 and 1993, he performed research and taught various courses in the decision sciences area at the University of Florida in the College of Business Administration. Since 1993, Chris has been serving as an associate professor of decision sciences in the Department of Management at Bucknell University. He currently teaches undergraduate courses in business statistics, decision analysis, and computer simulation. Moreover, Chris teaches advanced seminars in applied game theory, system dynamics, risk assessment, and mathematical economics. He has published articles in various journals including Managerial and Decision Economics, OMEGA, Naval Research Logistics, and Interfaces, and is co-author of DATA ANALYSIS FOR MANAGERS. His current scholarly interests focus on mathematical programming models of performance appraisal processes and innovative pedagogies in operations research/management science.