Decision Support Using Nonparametric Statistics

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

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

Autorentext
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.

Inhalt
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. <p