L08.2 Probability Density Functions

MIT RES.6-012 Introduction to Probability, Spring 2018
View the complete course: ocw.mit.edu/RES-6-012S18
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at ocw.mit.edu/terms
More courses at ocw.mit.edu

[@tirthpatel20]

Awesome lecture!..Thank you, Prof. Tsitsiklis & MIT 😊

[@nateshtyagi]

Thank you Prof, MIT!

[@NaofumiShinomiya]

"Probably" the best online course on probability on the internet. Thanks to Prof. Tsitsiklis and MIT OpenCourseWare

[@MrCEO-jw1vm]

The videos are short in length, but very rich in well-explained info. Thanks Prof!

[@ayushtah2294]

Thanks for making the video... It was very helpful.

[@JasonKT13]

this was amazing..thanks!

[@miraycelik2002]

thank you so much for making such valuable content online and open (+free) for every student out there I had hard time understanding this concepts in my uni (not to complain)
Prof Tsitsiklis you are amazing

[@thomasbates9189]

He is amazing. I bought his book on probability, and it is the best book out there!

[@miraycelik2002]

@@thomasbates9189 did not know he had a book def be checkin! Tysm

[@shikhasingh6865]

Sir, am I right with my concept that for discrete time random variable the pmf gives the probability whereas for continous time random variables the pdf gives the probability density .please help me sir

[@faransheikh8546]

Yes you are right, pdf gives the probability density, integrating it will give the probability

[@djganit]

m.ua-cam.com/users/djganit

[@avishshah2186]

1:25 3:55 5:55-6:30 8:40

[@GregThatcher]

Thanks much for explaining why the PDF at a point is zero. This has been mystifying me for some time.

[@As-zc3kt]

not getting anything , described in a very difficult way

[@edgarsvilums1550]

Mass sitting on top of a number? What is this ridiculously unnecessarily complex terminoligy? WIth discrete set of numbers it's just the probability of hitting that number, why do you have to use this hard to understand language?

[@yulunzeng7805]

With your tone, the probability that MIT will ever care about you is 0.

[@QZainyQ]

Actually, I came here after a long research on the pdf subject and this analogy gave me some intuition of it.

[@edgarsvilums1550]

@@QZainyQ I can accept that. But for afresh start I went elsewhere.

[@QZainyQ]

@@edgarsvilums1550 true

[@elia8544]

You don’t know what mass is?