Data Science

Probability Mass and Density Functions

Building a deeper understanding of probability

Probability mass and density functions are used to describe discrete and continuous probability distributions, respectively. This allows us to determine the probability of an observation being exactly equal to a target value (discrete) or within a set range around our target value (continuous). PMFs and PDFs are important to understand as you expand your knowledge of common statistical distributions!