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.
Preface: Purpose, Intended Audience, Scope
The Decision Making Process: A brief look at decision-making itself
Section 1: Concepts Common to ALL Statistics
1) Introduction to Variables; and an Introduction to Sampling, Sampling Error, and Margin of Error?
2) Introduction to Probability, the Foundation of Statistics, and to Binomial Probability
Section 2: The NonParametric Statistics Tools
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, Intervall“)
![Decision Support Using Nonparametric Statistics [Paperback]](/itemImage/2/8/6/1/2_1238468.jpg)