Synopsis
This book contains many classic Harvard cases and offers contemporary concept development. Its low cost makes it an ideal bundle with other Duxbury titles. It is appropriate for short courses in MBA-level statistics and as a supplement in more comprehensive courses. Emphasizing the practice of data analysis, the authors teach the methodology needed to solve a variety of commonly occurring real-world problems that managers encounter daily. Readers learn how to make inferences from limited data, forecast sales in appropriate ways, and avoid potentially disastrous errors of caustic reasoning.
About the Authors
Graduate School of Business Administration (B.A., Oxford University, Ph.D., MIT)
Arthur Schleifer, Jr. is the James J. Hill Professor of Business Administration, emeritus, at Harvard Business School, where he taught Managerial Economics and related subjects for thirty-four years. He has done extensive research and course development in forecasting and decision analysis. He has consulted and continues to consult in the computer, retail, tire, wire, and .com industries.
He is an avid tennis player and scuba diver, and enjoys photography and computer enhancement of photographs. His wife, Yvette, is a concert pianist. They have three grown children.
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