Researchers in fields ranging from biology and medicine to the social sciences, law, and economics regularly encounter variables that are discrete or categorical in nature. While there is no dearth of books on the analysis and interpretation of such data, these generally focus on large sample methods. When sample sizes are not large or the data are

Discrete Distributions. One-Sided Univariate Analysis. Two-Sided Univariate Analysis. Computing Fundamentals. Elements of Conditional Analysis. Two 2o 2 Tables. Assessing Inference. Several 2 o 2 Tables: I. Several 2 o 2 Tables: Ii. The 2 o K Table. Polynomial Algorithms: I. Polynomial Algorithms: Ii. Multinomial Models. Matched and Dependent Data. Reflections on Exactness. References. Index.