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Conditional probabilities arise when partial observation influences the probabilities of possible outcomes, for instance when an experiment is observed in real time and you reassess your chances at intermediate times. In Lecture 3 (of six we are showing) we explore this notion in the general setting of a probability space and in examples. You can find the answer to the Henry's Dinner short from 35 minutes in to the lecture. You can watch many other student lectures via our main Student Lectures playlist (also check out specific student lectures playlists): • Student Lectures - All lectures All first and second year lectures are followed by tutorials where students meet their tutor in pairs to go through the lecture and associated problem sheet and to talk and think more about the maths. Third and fourth year lectures are followed by classes.