L05.10 The Expected Value Rule

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
More courses at ocw.mit.edu

[@MrTabsickle]

Such a clear explanation.
Note: When averaging over x, the last term should have been: 4*0.4

[@michaelcheung6290]

I can say this series is one of the best if not the best in UA-cam

[@ericmaus6689]

This is the best explanation of this topic I have come across. Thank you

[@Spacexioms]

these videos are gods gift, thank you sir

[@JamesSmith29853]

Finally understood this formula. Unfortunately, I already had my midterm and screwed it:(

[@michaelcheung6290]

Nice explanation thanks! But should be 4*0.4 in 3:40?

[@davide816]

yes

[@sb-nm8qc]

very well made video

[@mehmeh8415]

Clear and concise, much love

[@jkim9931]

8:05 excellent

[@SaatvikPandey-zd7bt]

really nice

[@jcropcho]

Reminds me of The Law of the Unconscious Statistician (LOTUS): en.wikipedia.org/wiki/Law_of_the_unconscious_statistician

[@LNJP13579]

Bingo ! I commented the same : D

[@avishshah2186]

4:50

[@LNJP13579]

I think this proof is called LOTUS - The LAW OF UNCONSCIOUS STATISTICIAN