The discrete probability distribution or simply discrete distribution calculates the probabilities of a random variable that can be discrete. For example, if we toss a coin twice, the probable values of a random variable X that denotes the total number of heads will be {0, 1, 2} and not any random value.
Bernoulli, Binomial, Hypergeometric are some examples of the discrete probability distribution.
On the other hand, the continuous probability distribution provides the probabilities of a random value that can be any random number. For example, the value of a random variable X that denotes the height of citizens of a city could be any number like 161.2, 150.9, etc.
Normal, Student’s T, Chi-square are some of the examples of continuous distribution.