ABSTRACT
The functions illustrated in this chapter are the common functions used in probability and statistics as presented in elementary texts on these subjects. These functions are described as either a probability density or a probability distribution. A probability density shows the weight of the possible outcomes of an experiment or set of measurements. A probability distribution is the integral of a given probability density, and it will show the accumulated probability to be unity when the entire range of possibilities is taken into account. Probability densities divide into discrete and continuous types, depending on whether the independent variable is counted in discrete units or has a continuous range of values on the real axis.
