Conditional Probability & Expectation
Conditional probability and expectation are fundamental concepts in Probability Theory and Statistics, used to model uncertainty and make informed predictions based on available information. Conditional Probability measures the likelihood of an event occurring given that another event has already occurred. It updates our understanding of probability when new evidence is introduced. For example, the probability of rain today may change if we already know that the sky is cloudy.
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