Lecture 1.3: Conditional distribution of one random variable given another

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My suggestion which helped me understanding these contepts easilly : Skip theory learn from the examples prof is explaining after the theory
(This worked for this lec))

MannuYadav-IIT_M
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rv conditioned on an event: 0:45
notation: 1:09
formula: 1:33
note: 2:02
rv conditioned on another rv: 2:28
formula: 4:08
trick: 5:10
example 1: 5:50 6:34 8:06 8:30
example 2: 9:44 10:50 11:30 12:29 13:11
note: 13:35
identities: 14:08 15:36
note: 16:22

avenumadhav
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My suggestion "Focus on examples", if you aren't getting the theory,

ShivamAnandSpeaker
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3:30 I think denominator is simply a Probability of X=t

kmishy