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What is Conditional Probability Explained about?

This document discusses conditional probability and the theorem of total probability. It begins with an example explaining how conditional probability is calculated given partial information about the outcome of a random experiment. It then formally defines conditional probability as P(A|B) = P(A intersect B) / P(B). The document proves this satisfies the axioms of probability and derives the multiplication rule for conditional probabilities. It concludes by explaining how the theorem of total probability a

Author

Tawseef Iqbal

Language

EN