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Categorical data analysis in experimental biology Xu B; Feng X; Burdine RDDev Biol 2010[Dec]; 348 (1): 3-11The 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.|Animals[MESH]|Biology/*statistics & numerical data[MESH]|Confidence Intervals[MESH]|Data Display[MESH]|Data Interpretation, Statistical[MESH]|Developmental Biology/statistics & numerical data[MESH]|Virology/statistics & numerical data[MESH] |
