ABSTRACT
Section 1.1 discusses how to estimate and make inferences about a single probability of success pi. Section 1.2 generalizes this discussion to the situation of two probabilities of success that are now dependent on a level of a group. Chapter 2 completes the generalization to a situation where there are many different possible probabilities of success to estimate and perform inferences upon. Furthermore, we quantify how an explanatory variable with many possible levels (perhaps continuous rather than categorical) affects the probability of success. These generalizations are made through the use of binary regression models (also called binomial regression models).
