Overview
- 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
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (11 chapters)
Keywords
- nonparametric statistics
- business decision making
- hypothesis development and testing
- sampling error
- margin of error
- spreadsheet development
- four levels of measurement
- parametric statistics
- binomial probability
- chi-square contingency table
- Mann-Whitney U Test
- Kruskall-Wallis Test
- Spearman's Rank Correlation
- Excel statistics
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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Decision Support Using Nonparametric Statistics
Authors: Warren Beatty
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-3-319-68264-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2018
Softcover ISBN: 978-3-319-68263-1Published: 22 January 2018
eBook ISBN: 978-3-319-68264-8Published: 15 January 2018
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: XXII, 115
Number of Illustrations: 58 b/w illustrations
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Statistical Theory and Methods, Operations Research/Decision Theory, Business Mathematics, Big Data/Analytics