SpringerBriefs in Statistics

Decision Support Using Nonparametric Statistics

Authors: Beatty, Warren

  • Shows why analysis using nonparametric statistics is always valid and why using them will lead to better decision-making
  • Offers brief, practical, and to-the-point guidance on business data analysis and decision-making
  • Presents a brief introduction to Decision Making
  • Provides downloadable supplementary material: annotated spreadsheets, OpenOffice help, and exercise data and solutions
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Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-3-319-68264-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-3-319-68263-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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 the authors

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. 

Table of contents (11 chapters)

  • The Decision Making Process

    Beatty, Warren

    Pages 1-2

  • Four Facts About ALL Statistics

    Beatty, Warren

    Pages 3-3

  • Introduction

    Beatty, Warren

    Pages 5-16

  • Four Levels (Scales) of Data Measurement

    Beatty, Warren

    Pages 17-22

  • Variables, Random Variables, and Variable Characteristics, Sampling

    Beatty, Warren

    Pages 23-28

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-3-319-68264-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-3-319-68263-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Decision Support Using Nonparametric Statistics
Authors
Series Title
SpringerBriefs in Statistics
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-68264-8
DOI
10.1007/978-3-319-68264-8
Softcover ISBN
978-3-319-68263-1
Series ISSN
2191-544X
Edition Number
1
Number of Pages
XXII, 115
Number of Illustrations and Tables
58 b/w illustrations
Topics