Decision Support Using Nonparametric Statistics (SpringerBriefs in Statistics) - Softcover

Beatty, Warren

Softcover

ISBN 10: 3319682636 ISBN 13: 9783319682631

Publisher: Springer, 2018

Synopsis

This concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective. While many degree programs require a course in parametric statistics, these methods are often inadequate for real-world decision making in business environments. Much of the data collected today by business executives (for example, customer satisfaction opinions) requires nonparametric statistics for valid analysis, and this book provides the reader with a set of tools that can be used to validly analyze all data, regardless of type. Through numerous examples and exercises, this book explains why nonparametric statistics will lead to better decisions and how they are used to reach a decision, with a wide array of business applications. Online resources include exercise data, spreadsheets, and solutions.

About this title

About the Author

Warren Beatty, PhD, was Professor of Management (retired) at the University of South Alabama College of Business, where he developed the Department of Management's curriculum on Business Decisions.  During his tenure there, Professor Beatty was central to the university's development and usage of the Statistical Package for the Social Sciences (SPSS) and of the Statistical Analysis System (SAS).  He received a B.S. in Statistics from Mississippi State University, an MBA from the University of South Alabama, and a Ph.D. in Quantitative Management and Decision Making (with a minor in Statistics) from Florida State University.  Professor Beatty has authored over forty refereed journal articles and was a consultant to many Gulf Coast businesses and governments for over thirty years in the areas of computer selection and implementation, statistics and its use in analysis and decision support, and the decision process itself. 

From the Back Cover

This concise introduction to using statistics in the decision-making process covers nonparametric statistics topics most relevant to business decision-making. Business and Statistics departments generally require a course in parametric statistics, inappropriate if data being analyzed doesn't "fit" with the statistics being taught. Nonparametric statistics, the type of statistic that can validly analyze ANY data, is left for another, typically non-required, course. Much of the data collected today by business executives requires nonparametric statistics for valid analysis, and this book provides the reader with a set of tools that can be used to validly analyze ALL data, regardless of type.

While some of the data generated by today's businesses--production rates, for example--can be analyzed validly using parametric statistics, most data, like customer satisfaction opinions, require the use of nonparametric statistics. This book explains why nonparametric statistics will lead to better decisions and how they are used to reach a decision. It provides a set of tools to create and interpret spreadsheets that will aid in the decision-making process.

Answers to all end-of-chapter exercises along with their input data are available as downloads. All spreadsheet examples developed in chapters 3 through 6 are also available. Spreadsheets were developed using OpenOffice, a free Excel lookalike program that can be downloaded at no charge.

Edition details

• Publisher: Springer
• Publication date: 2018
• Language: English
• ISBN 10: 3319682636
• ISBN 13: 9783319682631
• Binding: Paperback
• Edition number: 1
• Number of pages: 137