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|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 can not 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.|
|Citation:||Xu, Bo, Feng, Xuyan, Burdine, Rebecca D. (2010). Categorical data analysis in experimental biology. Developmental Biology, 348 (1), 3 - 11. doi:10.1016/j.ydbio.2010.08.018|
|Pages:||3 - 11|
|Type of Material:||Journal Article|
|Journal/Proceeding Title:||Developmental Biology|
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