A discrete probability distribution: a. is a tool that can be used to incorporate uncertainty into models b. is the distribution of a single random variable c. can be estimated from long-run proportions d. lists all of the possible values of the random variable and their corresponding probabilities

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.

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