Conditional expectation

Conditional expectation is a statistical concept that represents the average or expected value of a random variable when we know certain information about related variables. Think of it as refining our prediction based on new evidence. For example, if we know it’s cloudy, the expected amount of rainfall for the day might increase. In essence, it helps us update our estimates in light of new, relevant data, providing a more informed forecast than the overall average alone.