Statistical Decision Making: An Interdisciplinary Approach

This book is intended for statistics instructors who want to make the introductory statistics course relevant to their MBA students. If you are wrestling with the topical overlap reflected in many quantitative methods courses or if you want to integrate the use of Excel in your statistics course or if you are looking for a truly different organization and approach to the introductory course, this book is for you. This is a truly interdisciplinary textbook, drawing on examples from accounting, business economics, finance, MIS, operations, management and marketing., and focusing on decision making, rather than formulas or tools. Problem orientation throughout the book involves a wide variety of business applications, especially operations management, finance and economics, for these disciplines are rich in their use of quantitative methods.

Donald L. Harnett and James F. Horrell are the authors of Data, Statistics, and Decision Models with Excel, published by Wiley.