Abstract
Categorical data are data that can take on one of a limited, and usually fixed, number of possible values. (A “mean value” typically makes no sense for categorical data.) This chapter covers the tests most commonly used for the analysis of categorical data: chi-square tests, Fisher’s Exact Test, McNemar’s Test, and Cochran’s Q-Test.
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Notes
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Adapted from Stat Labs: Mathematical statistics through applications by D. Nolan and T. Speed, Springer-Verlag, New York, 2000.
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References
Altman, D. G. (1999). Practical statistics for medical research. New York: Chapman & Hall/CRC.
Box, J. F. (1978). R. A. Fisher: The life of a scientist. New York: Wiley.
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Haslwanter, T. (2016). Tests on Categorical Data. In: An Introduction to Statistics with Python. Statistics and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-28316-6_9
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DOI: https://doi.org/10.1007/978-3-319-28316-6_9
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