Probability Theory: Discrete Random Variables

This lecture introduces the concept of discrete random variables, discussing their probability mass function, properties, and binomial distribution. The instructor explains key properties, such as non-negativity and total probability equal to one, and defines the probability mass function as the difference between cumulative distribution functions. Additionally, the lecture covers the binomial distribution, its parameters, and the relationship with Bernoulli variables. Examples and illustrations are provided to enhance understanding.