L08.2 Probability Density Functions

MIT RES.6-012 Introduction to Probability, Spring 2018
Instructor: John Tsitsiklis

License: Creative Commons BY-NC-SA

[MrCEO-jwvm]

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

[miraycelik]

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

[NaofumiShinomiya]

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

[tirthpatel]

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

[GregThatcher]

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

[As-zckt]

not getting anything, described in a very difficult way

[ayushtah]

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

[shikhasingh]

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

[edgarsvilums]

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?