L13.3 The Law of Iterated Expectations

MIT RES.6-012 Introduction to Probability, Spring 2018
View the complete course: ocw.mit.edu/RE...
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at ocw.mit.edu/terms
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[@branksi9950]

Made more sense in 4 min than my professor the whole semester

[@josevalencia9233]

Best Teacher ever, Defenitely! Thanks professor and MIT

[@emrullahcelik7704]

Very well explained, thanks!

[@bigfriki]

Really well explained

[@triton62674]

Fantastic

[@kanacaredes]

Great Teacher!!!!

[@liviebroussard8211]

Thank you so much!!!!!

[@okinawapunter]

thank you.

[@engineerofdarkness]

GREAT

[@tusharbhut]

E[g(Y)] should be equal to Σg(Y)*P(g(Y)) ? Isn't it?

[@umangsaini8559]

Probability of function of random variable y = probability of random variable y.

[@yangfan8546]

👎