Discrete random variables and the binomial distribution When working through a tutorial, don't use the scrollbar. Move around the document by clicking on the hotlinks instead.
Random variables describe selected features of elements of a sample space.
In this part of the course, we are only interested in quantitative random variables. A continuous random variable can take any value in an interval or in several intervals of real numbers, whereas in the case of a discrete random variable there are gaps between consecutive possible values. But if we decide to measure, say, height of newborn humans in inches, then we will have very few possible integer values of this variable, and it is more meaningful to treat it as a discrete random variable. Let T be the time that elapses until a given atom of a radioactive substance disintegrates. Sorry, you chose the wrong answer.