Probability
The probability of an event is its likelihood to occur, expressed as a real number from \(0\) (impossibility) to \(1\) (absolute certainty). Counting techniques can be applied to calculate the probability of a random event. A probability distribution associates outcomes with probabilities.
Discrete probability is the probability of an event in a sample space that is either finite or countably infinite. For a set to be countably infinite, a bijection must exist between it and \(\mathbb{Z}\). Otherwise, it's uncountably infinite.
The set of all binary strings, \(B^*\), and the set of all rational numbers, \(\mathbb{Q}\), are examples of countably infinite sets.
The sample space of throwing a dart at a target, where the outcome is the exact position of the dart on the target as an ordered pair of two real numbers, \(\mathbb{R} \times \mathbb{R} = \mathbb{R}^2\), is an example of an uncountably infinite set. If the ordered pairs consisted of integers, the sample space would have been \(\mathbb{Z} \times \mathbb{Z} = \mathbb{Z}^2\), a countably infinite set.