Decision Support Using Nonparametric Statistics

Description

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. Front Matter ....Pages i-xxii The Decision Making Process (Warren Beatty)....Pages 1-2 Four Facts About ALL Statistics (Warren Beatty)....Pages 3-3 Introduction (Warren Beatty)....Pages 5-16 Four Levels (Scales) of Data Measurement (Warren Beatty)....Pages 17-22 Variables, Random Variables, and Variable Characteristics, Sampling (Warren Beatty)....Pages 23-28 Probability and the Binomial Probability Distribution (Warren Beatty)....Pages 29-42 One Population Hypothesis Testing (Warren Beatty)....Pages 43-54 Two Populations (Warren Beatty)....Pages 55-78 Three (or More) Populations (Warren Beatty)....Pages 79-85 Association (Warren Beatty)....Pages 87-96 Back Matter ....Pages 97-115