Decision Support Using Nonparametric Statistics

• Main Author: Beatty, Warren (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Statistics,
• Subjects: Statistics .; Operations research.; Decision making.; Business mathematics.; Big data.; Statistics for Business, Management, Economics, Finance, Insurance.; Statistical Theory and Methods.; Operations Research/Decision Theory.; Business Mathematics.; Big Data/Analytics.

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...

Table of Contents:

• Preface
• Introduction to Decision-Making
• 1. Introduction to Variables and Sampling, Sampling Error, and Margin of Error
• 2. Introduction to Probability, the Foundation of Statistics, and Binomial Probability
• 3. One Population Hypothesis Testing: Nominal - Runs Test, Sign Test; Ordinal, Interval - Wilcoxon Signed Rank Test
• 4. Two Population Hypothesis Testing: Nominal - Sign Test, Chi-Square Contingency Table; Ordinal, Interval - Wilcoxon Signed Rank Test, Mann-Whitney U Test
• 5. Three or More Population Hypothesis Testing: Nominal - Chi Square Contingency Table; Ordinal, Interval - Kruskall-Wallis Test
• 6. Association: Nominal - Chi-Square Test of Association; Ordinal, Interval - Spearman's Rank Correlation
• Appendix of Tables Used
• References for Chapters 3-6
• OpenOffice Help
• Spreadsheet Tutorial. .