What is a discrete distribution?

A discrete distribution refers specifically to a probability distribution that deals with distinct values or countable outcomes. This means that the values in a discrete distribution can be enumerated clearly; you can list all possible values of the random variable X. For example, if you are rolling a six-sided die, the possible outcomes (1, 2, 3, 4, 5, and 6) are countable and finite, making this a discrete distribution.

In contrast, another type of distribution, known as a continuous distribution, would involve a continuous range of values that cannot be simply counted or listed. This distinction is crucial in statistics for appropriately applying the right methods and models.

The other options do not accurately reflect the nature of a discrete distribution. While extreme values might be a consideration in other contexts, they do not define a discrete distribution. Similarly, data visualization pertains to how data is represented graphically, not to the categorization of probability distributions themselves.