14.3. ANALYSIS OF CATEGORICAL DATA
14.3.1. Chi-square, tables
14.3.1.1. MAKING COMPARISONS USING CHI-SQUARE TESTS
In Six Sigma, there are many instances when the analyst wants to compare the percentage of items distributed among several categories. The things might be operators, methods, materials, or any other grouping of interest. From each of the groups a sample is taken, evaluated, and placed into one of several categories (e.g., high quality, marginal quality, reject quality). The results can be presented as a table with m rows representing the groups of interest and k columns representing the categories. Such tables can be analyzed to answer the question "Do the groups differ with regard to the proportion of items in the categories?" ...
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