jim8z3

Hi dudeinthecity
Here are some my ideas.
Discrete random variable is variable that its possible outcome can be counted. Continuous random variable is variable that its possible outcome can not be counted.
Discrete uniform random variable is one for which gives the equal possible outcome for each variables.
Discrete distribution gives the finite probability of random variable at the point occur but continuous distribution cannot give the finite probability of continuous variable at exact the point it occur even possible outcome occurs at that point. Continuous distribution has meaning value in a range value of random.
As your above example of Ebitda/Interest it is explained as the possible outcomes are too large that even Ebitda/Interest is discrete distribution it is still treated as continuous distribution.
That’s all my though. Hope somebody else will correct our understanding if anything wrong. Thank you.