Continuous cumulative distribution functions are being introduced under two aspects. On the one hand, they are appropriate/used for modelling in the case of random variables that have many different possible values that can be not integers or may be negative. On the other hand, they also serve for approximation for discrete distributions in order to calculate probabilities more easily. In this module we get to know the most important characteristics of continuous distributions as well as the density that belongs to a continuous cumulative distribution function. We transfer the concept of parameters from the discrete to the continuous distributions. Moreover, some of the most important distribution models are being introduced.