Two Dimensional Random Variable: Joint Density Functions

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This video will explain the concept of a joint density function, marginal function, conditional probability of two-dimensional random variables.
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But jdf of 2x+y/2 is given wrong is should be x+y/21

WWE_PROMOS
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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.

RakeshSingh-ekhr
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Sir you're really really an amazing teaching method is perfect....

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

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

asharfulkhan
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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 🥰🥰🥰🥰

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

CalmMindOasis-uu
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amazing lec. helps a lot with engg math

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

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

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

Umer from PAK

UmerFarooq-zmpo
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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.

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

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

prajwalmallepulla
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Thank you very much. You are a genius.

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

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

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

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

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

thanosr