Analysis of Categorical Data
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The analysis of categorical data involves the following methods:
A study of the goodness-of-fit test;
The study of a contingency table and its subsequent analysis, which consists of discovering and studying relationships between the attributes (if they exist);
An homogeneity test of some populations, related to the distribution of a binary qualitative categorical variable;
An examination of the independence hypothesis.
The term “contingency”, used in the relation to cross tables of categorical data was probably first used by Pearson, Karl (1904). The chi-square test, was proposed by Barlett, M.S. in 1937.
See goodness-of-fit and contingency table.
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