Which of the following describes discrete statistics?

Discrete statistics pertain to data that can only take on a finite set of distinct values, meaning that the data points are countable and not infinitely divisible. For instance, the number of students in a classroom or the result of rolling a six-sided die can only result in whole numbers like 0, 1, 2, 3, and so on, up to a specific limit. This characteristic differentiates discrete data from continuous data, which can take any value within a range and are measurable, such as heights or temperatures.

The other options pertain to different types of data or concepts that do not align with the nature of discrete statistics. Continuous values indicate a different category of statistics, while statistical measures being uncalculable does not relate to the definition of discrete statistics. Continuous variation further emphasizes the difference from discrete data, affirming that the correct understanding centers around the concept of finiteness and countability in discrete statistics.