This book follows the four steps outlined in this chapter:

**Problem definition**: A discussion of the definition step is provided in Chapter 2 along with a case study outlining a hypothetical project plan. The chapter outlines the following steps: (1) define the objectives, (2) define the deliverables, (3) define roles and responsibilities, (4) assess the current situation, (5) define the timetable, and (6) perform a cost/benefit analysis.**Data preparation**: Chapter 3 outlines many issues and methods for preparing the data prior to analysis. It describes the different sources of data. The chapter outlines the following steps: (1) create the data tables, (2) characterize the data, (3) clean the data, (4) remove unnecessary data, (5) transform the data, and (6) divide the data into portions when needed.**Implementation of the analysis**: Chapter 4 provides a discussion of how summary tables and graphs can be used for communicating information about the data. Chapter 5 reviews a series of useful statistical approaches to summarizing the data and relationships within the data as well as making statements about the data with confidence. It covers the following topics: descriptive statistics, confidence intervals, hypothesis tests, the chi-square test, one-way analysis of variance, and correlation analysis. Chapter 6 describes a series of methods for grouping data including clustering, associative rules, and decision trees. Chapter 7 outlines the process and methods to be ...

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