Answer: D. Lists all of the possible values of the random variable and their corresponding probabilities.
Step - by - step explanation:
In statistical studies, a probability distribution relates the result of a study/event with the probability of its occurrence. For example, we can ascertain that the probability of getting 1, 2, or 3 tails when we toss a coin is 0.1, 0.2, or 0.3.
While Continuous probability distribution lists the probabilities of values that cannot be counted, Discrete probability distribution gives the probabilities of exact values.