Total expectation theorem

Total Expectation Theorem tells us that the expected value of a random variable can be calculated by considering different scenarios. Finding the expected value under each of the possible scenarios, and weigh the scenarios according to their respective probabilities.

The expected value of the conditional expected value of X given Y is the same as the expected value of X.