Two Dimensional Random Variable: Joint Density Functions

[@shanzamumtaz2545]

Sir you're really really an amazing teacher......your teaching method is perfect....

[@DrHarishGarg]

Glad to hear that

[@RakeshSingh-ek1hr]

Very informative lecture . Sir after watching your lecture then personally I think that In many coaching institutes they r just provide bookish and very blur knowledge which normally can't be understood . Your way of explaning the things is very clear which we can easily understand that's why I'm seeing your lectures continuously.

[@DrHarishGarg]

thanks for the respect.... Keep watching and sharing with others too

[@bernicelamisi539]

I'm a computer science student taking statistics I didn't like it initially, but because of your videos I have developed interest for statistics. Many thanks 🥰🥰🥰🥰

[@DrHarishGarg]

Thanks ... Its my pleasure... Keep watching and share with other students too

[@WWE_PROMOS]

But jdf of 2x+y/2 is given wrong is should be x+y/21

[@srimanch3675]

Sir ur videos are really amazing 👏👏...tough topics can be easily understood by ur teaching.....u really helped alot for me 🤗...tq so much sir 👏👏

[@DrHarishGarg]

Many thanks for the appreciation. ... Keep watching and sharing . Happy learning

[@user-01818]

Ur teaching is excellent sir.Eventhough u r not getting views sir.feel for u sir 😢😢😢

[@ananyas7836]

I’m a masters student at ucla, I had absolutely no idea of probability until I came across your videos! Thank you so much!

[@UmerFarooq-zm6po]

Wonderful lecture. It covers everything for 2D Probability distributions. Keep it Up Doc! Umer from PAK

[@DrHarishGarg]

Many thanks.... Keep watching and sharing with others too

[@abdulhayiguadie608]

An amazing tutorial; You make it so easy. Thank you very much.

[@CalmMindOasis-u9u]

Very helpful lecture. Thank you sir for this amazing and lucid explanation.

[@uguook]

amazing lec. helps a lot with engg math

[@vakhariyajay2224]

Thank you very much. You are a genius.

[@sarthakchugh7254]

Tomorrow is my maths exam, did all the syllabus from your channel, u deserve millions of views and subscribers. Thank you so much. I shared your channel with my friends and they are also getting help.

[@DrHarishGarg]

Wow, thank you!.... All the best for your exam.

[@sarthakchugh7254]

@@DrHarishGarg Thank you so much sir, it went good, I think I'll score around 65-70 marks out of 80

[@DrHarishGarg]

Wow.. So happy for you.... Happy learning always

[@asharfulkhan682]

at 17:07 can u check the table value? when x=1,y=1 then 2*1+1/21 = 3/21

[@DrHarishGarg]

Yes,... you are right, here p(x,y) is inadvertently taken from previous example... Bu, Just try to focus on the method..and learn the concept

[@theend4090]

You are amazing 👏. Thank you so much.

[@DrHarishGarg]

Its all my pleasure..... Keep watching other video too and share with others.....

[@hrithikmaity609]

am a maths bachelor and these videos really helped me lot to overcome my probability fear thank u a lot sir

[@DrHarishGarg]

My pleasure... Thanks for liking... Keep watching and sharing with others too

[@bhargavpunna2949]

Sir, your work is super

[@aditichakraborty5381]

Thank you sir.... It is really nicely explained

[@DrHarishGarg]

My pleasure

[@prajwalmallepulla6130]

at 17:29 minutes example margine of x table is wrong can you check once

[@alinagiri3152]

Please let me know if you upload the video on sufficient statistics as well :). Your videos are really thorough and amazing. Thank you so much.

[@DrHarishGarg]

Sufficient estimator lecture is uploaded... You may watch

[@alinagiri3152]

@@DrHarishGarg Thank you so so much Professor :)

[@informativehouse8041]

best in the town

[@uguook]

18:05 val of y should be 0,1 instead of 1,2 to get that jdf table

[@tejadongari73]

Amazing examples sir

[@enasgirave5773]

جزاك الله خيرا

[@deepakmodi8235]

17:32 ,Sir please check the Table, It is wrong filled by mistake.

[@dr.seshubabup7722]

Sir What is the difference between Marginal distribution function and Marginal probability function

[@krishnadagar6798]

Sir 11: 53 aap ne summation kese lagaya kese pta chla ke ye discrete h ya continuous

[@amannikhare2457]

Can we do same for joint probability mass function or is there another method?

[@thanosr7418]

What is that exhaust thing and how do you find P(3 black) is 1/21

[@StarShield]

Sir pls let me know if you upload video on reliabilty

[@Harshit2193]

Thanks sir for multiple examples

[@DrHarishGarg]

Thanks and welcome.... Keep sharing with others too

[@abhishekgaurav6928]

Very good explanation 🙏

[@DrHarishGarg]

Thanks a lot... Keep watching and sharing with others too

[@parthhh3589]

17:53 wale question me waha pr marginal density function ki jagah mariginal probability mass function hona chahiye na? as our random variable is discrete? Btw really nice explanation sir

[@Pallavijangir18]

i was about to ask the same

[@Anushka20037]

i think if you add english subtitle you will get more reach for sure

[@dailywakeup69]

you realy inspired me

[@SachinShikarwar]

Well explained :)))

[@DrHarishGarg]

Thanks for watching

[@vaibhavpratapsingh9956]

i think in the language for the 1st and 3rd question,it should be joint mass distribution and not joint density distribution

[@DrHarishGarg]

No difference between mass or density , you may call either joint mass or density....

[@vaibhavpratapsingh9956]

@@DrHarishGarg but mass suggests that f(x) is the probability at x while density suggests that Integral f(x).dx is the probability

[@Coc.clips77]

Exactly ​@@vaibhavpratapsingh9956

[@bussasunitha1876]

You are correct ​@@vaibhavpratapsingh9956

[@adarshkumardwivedi4250]

sir ne ye mean waale formulae konse lecture mein padhaya tha ? plz help me

[@DrHarishGarg]

Random variable and Discrete distribution

[@korchageen]

Just a small correction @ 1:44 x2y1 box will be P21

[@DrHarishGarg]

Thanks dear

[@krishnadagar6798]

Sir 20:55 ke ques. Ka 3rd part me aap ne 2,2 pair kyu nahi liya

[@prashanthneelam6836]

thanks man😎

[@ilmpoint5967]

Amazing...

[@DrHarishGarg]

Thanks dear

[@nitishgupta169]

17:41 Sir, I think there is small error in the distribution table. P(x=1,y=1) should be 3/21.........and so on. please correct me if I am wrong?

[@DrHarishGarg]

There is a typing error in function... P(x,y) = (x+y)/21... Otherwise, change the table ..no issue , just learn the concept , how to solve any problem

[@nitishgupta169]

@@DrHarishGarg ok sir 😇

[@shubhangikumbhar7810]

Example (2x+y)/21 find mean(x)...... How you construct the table of x,y ?? Put vale p(1,1)=3/21 ??? But your answer 2/21 ?? I can't understand

[@DrHarishGarg]

I think... Its a typing error... Actually it is p(x,y)=(x+y)/21... As same as previous example

[@shubhangikumbhar7810]

Ok thanks

[@shubhangikumbhar7810]

Sir Is there any videos on correlation and MGF ( example and concepts)?? because i need it..

[@DrHarishGarg]

Yes.... All are available, MGF, Characteristic function, Chebyshev inequality, WLLN etc.... You can find all in the playlist available in my channel. See from here Probability & Statistics: kzbin.info/aero/PLO-6jspot8ALyrofp0fWp0fOb19NcFS4V

[@bhargavpunna2949]

At 16th minute, typing error is there. It's just x+y

[@ABHAYKUMAR-dj8ui]

Thank you sir 😊

[@jassim5982]

17:09 sir how did you get 2/21 please 🙏

[@Mjafar2000]

3/21 is correct

[@reayahzathali1858]

Thank You!

[@riyamukherjee6926]

Sir where could I get joint probability density function questions for 2D continuous random variables

[@DrHarishGarg]

Still not uploaded.... I will try to upload soon

[@riyamukherjee6926]

@@DrHarishGarg thank u sir.. I just need that... u cleared so many doubts of mine already with this joint pmf ..I just need joint pdf 😊

[@DrHarishGarg]

Two dimensional continuous random variable lecture is uploaded ... Now you may explore.

[@biniyamabera8356]

Wow🤩...tnx

[@mhhjjh4880]

Thank you♡

[@DrHarishGarg]

My pleasure always.... Keep watching and sharing

[@AskLight]

Voice seems like Newzboy❤

[@TrishaKumari9]

Sir in example 16:48 if it is a density function then why are we doing summation and not integration?

[@Coc.clips77]

Sir assumes pdf and pmf is same ,but they are not .

[@TrishaKumari9]

@@Coc.clips77 Is it? But they can't be the same. If they become the same the whole statistics changes. Is there any particular situation or condition when we assume the pdf and pmf to be same?

[@Coc.clips77]

@@TrishaKumari9 exactly, pmf and pdf is not same at all . See in pdf single point mass is zero .In the opposite ,talking abt pmf single point mass can be calculated .

[@TrishaKumari9]

@@Coc.clips77 Totally.

[@antimakumarigupta2906]

P12 ke jagah par p21 hoga sir

[@kunalvermaa]

Sir boht hard

[@habtamutiruneh5653]

10Q SO,Much.

[@DrHarishGarg]

After learn through 10 questions.... You will be perfect to solve any question... Best wishess.

[@youknowmyname9606]

17:27 The joint density table is wrong sir

[@monirahoque9917]

ধন্যবাদ

[@DrHarishGarg]

Thanks.

[@utkarshgupta6258]

17:29 incorrect table

[@adityarana2312]

Desnity function bala sir mass function ki trah kr diya 2nd one k bala

[@ehedhesenli2343]

calculation mistake in 17:00 x+y instead of 2x+y

[@weeememes2550]

Sir you can be a genius because you have great knowledge but you are not a good teacher because most of my college friends are not able to get the concept taught by you. You dont know how to deliver your knowledge so that anyone can understand it . Sorry , but this is my genuine review no cap sir you dont know how to teach .

[@chhatroladhaval5354]

Plz sir property for conditional distribution

[@DrHarishGarg]

Lecture on conditional probability is already available in my channel. Check and watch.

[@DrHarishGarg]

It is uploaded

[@chhatroladhaval5354]

@@DrHarishGarg link?

[@DrHarishGarg]

kzbin.info/www/bejne/paTNgaaJntCmaK8

[@chhatroladhaval5354]

@@DrHarishGarg thank you

[@sohailahamed2194]

❤️❤️❤️

[@DrHarishGarg]

Thanks dear

[@DrHarishGarg]

Many thanks.... Join my telegram link of Probability and Statistics t.me/gargProbability