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Categorical Data Analysis

  • Bayo Lawal
Chapter

Abstract

Categorical variables may have categories which are naturally ordered called ordinal variables or those that have no natural order called nominal variables. For example, the variable “weight” with categories “small,” “medium,” and “big” is an ordinal variable, so also is the attitudinal variable with categories “agree,” “neutral,” and “disagree.” On the other hand, variables such as “sex” and “color” of flowers which have no natural order are examples of nominal variables. In this chapter, emphasis will be placed on testing the agreement of frequency arising from data from experiments with known distribution (e.g., Poisson and Binomial) and analysis of two-way contingency tables.

Keywords

Contingency Table Prenatal Care Pollen Mother Cell Term Pregnancy Expected Frequency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Supplementary material

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Statistics and Mathematical SciencesKwara State UniversityMaleteNigeria

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