ABSTRACT
One of the main objectives of statistics is to help make “good” decisions under conditions of uncertainty. Probability is one way to quantify outcomes that cannot be predicted with certainty. For example, when throwing two dice, the outcome of the experiment cannot be known before the dice are thrown. Random variables, as well as counting techniques, will facilitate the analysis of problems such as the example of throwing two dice. This chapter provides a brief introduction to counting techniques, axiomatic probability, random variables, and moment generating functions.
