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12.5 CONCLUSION
Key concepts behind categorical data analysis utilizing the contingency table and
logistic regression approaches have been described in this chapter. These are the two
mostimportantfamiliesofcategoricaldataanalysistechniquesandformthecoreideas
from which many other more sophisticated statistical techniques for categorical data
analysis are developed. The use of categorical data analysis procedures is primarily
driven by the presence of response variables which are not continuous. Such data
have been observed to frequently arise in many Six Sigma applications especially in
service or transactional processes. Categorical data analysis techniques are expected
to become more relevant with the proliferation of Six Sigma in different industries.

REFERENCES

1. Agresti, A. (2002) Categorical Data Analysis. New York: John Wiley & Sons, Inc.
2. Hosmer, D. W. and Lemeshow, S. (1989) Applied Logistic Regression. New York: John Wiley &
Sons, Inc.