We now move to the next part of building our probability bridge. Often, if we are able to model a phenomenon in terms of a random variable X with CDF F(x), we will also be interested in the…
In this lesson, random variables are defined as function whose domain is the sample space and whose range is a subset of the real numbers. This subset of the real numbers defines a new sample space.…
Dr. Harvill provides a definition of a probability function via Kolmogorov's Axioms and discusses the implication of the domain of that function. The idea of a probability measure space is…