TWO DIMENSIONAL CONTINUOUS RANDOM VARIABLES, JOINT P.D.F, CONDITIONAL P.D.F, MARGINAL P.D.F:IN HINDI

Link for the hard copy of notes:

In this video, we will discuss two dimensional random varaibles, marginal probability DENSITY function, conditional p.d.f in continuous random variables. Questions based on this concept will be done in detail. Link for the previous lecture and lecture on double integral are given below.

[arghasreepalit]

Best best best lecture thank you so much mam...❤❤❤❤

[chawlavaibhavvlogs]

Kash aap thori phele milte sch me bhut bdia mam
Love and respect from faridabad ❤❤❤❤

[lakshyarajsinghrao]

Ma'am,
Love from Hindi College ❤
Thank you

[manansachdeva]

Thank you mam for this video. Even if I don't know double integral, still you explained in a very easy manner. Mam like in the case of x>y, the required prob. was of a triangle out of the whole rectangle. So, can we also find it like we do in the case of geometric probability, like area of triangle/area of whole rectangle ? The answer were different by 0.1 by both the methods. So, why can't this method be used here ? please explain mam. Thank you.

[kunalkumar]

Hello mam

Mam in probability we need CLT theorem topic taught by u ....