Abstract
Distributions of data give important information about the dataset, both to
researchers and to analysts. Continuous random variables are those variables whose
outcomes are measured instead of random variables that are counted. These variables
can be handled using probability density functions and cumulative distribution
functions. Both have appropriate times and usage cases.