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.
