Final answer:
A probability distribution represents the likelihood of different outcomes occurring. The normal distribution is a bell-shaped curve that is used in many disciplines. It is a continuous distribution with a total area under the curve of 1.
Step-by-step explanation:
A probability distribution represents the likelihood of different outcomes occurring. The distribution must satisfy two conditions: the sum of all probabilities must equal 1, and all probabilities must be greater than or equal to 0. In the options provided, the normal distribution represents a probability distribution as it satisfies these conditions.
The normal distribution is a bell-shaped curve that is used in many disciplines. It is a continuous distribution with a total area under the curve of 1. The parameters of the normal distribution are the mean (μ) and the standard deviation (σ).