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Decision Support Using Nonparametric Statistics

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...

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Bibliographic Details
Main Author: Beatty, Warren
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Series:SpringerBriefs in Statistics
Subjects:
Data Analysis And Big Data
Statistical Theory And Methods
Business Mathematics
Operations Research
Statistics 
Quantitative Research
Statistics In Business, Management, Economics, Finance, Insurance
Operations Research And Decision Theory
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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. 

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