Some examples of continuous random variables include:įor example, the height of a person could be 60.2 inches, 65.2344 inches, 70.431222 inches, etc. The number of times a dice lands on the number 4 after being rolled 100 times.Ī continuous random variable is one which can take on an infinite number of possible values.The number of times a coin lands on tails after being flipped 20 times.Some examples of discrete random variables include: There are two types of random variables: discrete and continuous.Ī discrete random variable is one which can take on only a countable number of distinct values like 0, 1, 2, 3, 4, 5…100, 1 million, etc. Random Variablesīefore we can define a PDF or a CDF, we first need to understand random variables.Ī random variable, usually denoted as X, is a variable whose values are numerical outcomes of some random process. This tutorial provides a simple explanation of the difference between a PDF (probability density function) and a CDF (cumulative distribution function) in statistics.
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