Categorical data analysis in experimental biology
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Updated: Jun 9, 2026

Quantification of Orofacial Phenotypes in Xenopus
Published on: November 6, 2014
Bo Xu1, Xuyan Feng, Rebecca D Burdine
1Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
Abstract:
The categorical data set is an important data class in experimental biology and contains data separable into several mutually exclusive categories. Unlike measurement of a continuous variable, categorical data cannot be analyzed with methods such as the Student's t-test. Thus, these data require a different method of analysis to aid in interpretation. In this article, we will review issues related to categorical data, such as how to plot them in a graph, how to integrate results from different experiments, how to calculate the error bar/region, and how to perform significance tests. In addition, we illustrate analysis of categorical data using experimental results from developmental biology and virology studies.
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