Question

Discrete Random Variable a random variable that takes countable numbers of values, such as {age, gender, times of an event happening}

Probability Mass Function (PMF):
A) Continuous Random Variable; Probability Density Function (PDF).
B) Random variable; Cumulative Distribution Function (CDF).
C) Events; Joint probability.
D) Probability of each value; Probability distribution.

Answer 1

A discrete random variable is a random variable that takes countable numbers of values, and it is represented using the Probability Mass Function (PMF). The PMF gives the probability of each value of the random variable.

Step-by-step explanation:

A discrete random variable is a random variable that takes countable numbers of values. Examples of discrete random variables include age, gender, and the number of times an event happens. To represent the probability distribution of a discrete random variable, we use the Probability Mass Function (PMF). The PMF gives the probability of each value of the random variable. It has two characteristics: each probability is between zero and one, and the sum of the probabilities is one.