Decision Support Using Nonparametric Statistics, 1st ed. 2018 SpringerBriefs in Statistics Series
Auteur : Beatty Warren
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.
Date de parution : 01-2018
Ouvrage de 115 p.
15.5x23.5 cm
Thèmes de Decision Support Using Nonparametric Statistics :
Mots-clés :
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