Advanced Probability: Expected Value

This lecture covers the concept of expected value in probability theory, including its definition, theorems, and examples such as the expected value of a dice roll and the sum of numbers from rolling two dice. It also delves into the expected value of Bernoulli trials, providing proofs and calculations for determining the expected number of successes in independent trials.