R Programming

Inference for Categorical Data

Categorical Data are data that capture a characteristic of an experimental unit rather than a numerical value. There are different types of categorical data like nominal and ordinal. These data are distributed in various ways such as binomial, multinomial, and independent multinomial. Methods for estimation and making statistical inferences for categorical data  includes approximation of the binomial distribution with a normal distribution, estimation and inference for one and two binomial samples, inference for 2 x 2 and R x C contingency tables, and estimation of sample size.

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