Continuous Random Variables and Cumulative Distribution Function

The problem with Discrete random variables was they can’t be used for continuous data. In engineering, there comes a time when we need to model continuous random data, and it happens a lot¬†the most popular random variable which we use is Gaussian Random Variable. Since Discrete Random Variables can be characterized or fully described by their PMF (Probability Mass Function) we can’t use the same for a¬†continuous case because the probability would be 0. We can explain this by giving an example. To see discrete random variables please visit this article. Suppose you want to measure a temperature of...