Answer:
Option d
Step-by-step explanation:
A discrete probability distribution depicts the probability distribution of a discrete random variable whereas discrete random variable is the variable with countable values. So, the discrete random variable takes value as 0,1,2,3,...
A probability distribution represents the probabilities of every possible value of random variable. Thus, a discrete probability distribution contains lists all of the possible values of the random variable and their corresponding probabilities.
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.
