Joint Probability Distribution # 3 | Covariance and Correlation Coefficient

[@bakugan248]

Thank you, you saved my exam/life. My professor didn't bother to teach it yet his exam had me looking for the Cov and correlation.

[@khayalethumakosi6678]

hahaha they do that all the time

[@madskills1485]

Perfect well done. Simple, short and right to the point. Thanks WBM.

[@GiteshJoggesser]

You are an absolute savior. Thank you so much.

[@niclasbergman8418]

Thank you so much, been struggling with this for what seems like an eternity now. Best vid on this out there

[@alexeybelov3465]

You saved my life, thanks a lot!

[@DoudouAutomation]

Hi i think you made a little mistake at the end, instead of covariance, correlation, thank you

[@SulagnaDasgupta]

The probabilities don't add up to 1. They add up to just a little more than 1 - 25/24. I think we can just change all the denominators to 25 and everything will be alright.

[@rajeevkhuttan9555]

Ending should be correlation not covariance.

[@WelshBeastMaths]

Rajeev Khuttan Silly error on my part, apologies.
I will annotate the video to correct it!
Thanks

[@jasonwiberg1285]

@@WelshBeastMaths 9 years later not annotated haha

[@andyboadu3891]

This is so cool. You made my day. Thanks a lot. I was lost as to how to get E|XY| but now I know.

[@arunkenta]

Same. It's weird I couldn't find it anywhere else!

[@aimlesscait]

Bro where are you we needed more of this topic

[@themysterygirl3279]

at 8:13 you had stated the fomula to be cov(x,y)=corr(x,y)/sd, as opposed to the one at 5:33, where the values are switched. which one is correct?

[@thabangmokoto6490]

And I wa so confident for my assessment, now I’m here at the comment section wondering if I’m the only one who notices the switch up…

[@ivanrodriguezc]

Thank you, this was helpful

[@abenash2881]

mate, you are so goated

[@bradleyhansen6444]

Excellent video. Studying for the P1 exam for actuary and it helped a lot!

[@reecegriffith4864]

thank you so much, was looking to solve E(XY) for so long

[@nahlanahla8715]

In 2024 i'm watching this video for my finals THANK you sm sir ❤

[@madisonnguyen953]

thank you so much ^_^ this was very helpful!!

[@sna241]

Useful, thanks.

[@meloney55]

Thank you for this!

[@ratandeep6694]

how do you calculate E(X) and E(Y)?

[@4dpolice817]

ua-cam.com/video/eTSIsBA-ERk/v-deo.html
a little late ig lol

[@real-roland]

You are awesome!!! Thanks for the video.

[@josevalencia9233]

I really enjoyed your mini-series videos. Very clever and very practical explainations. Thanks

[@bellaaaluna5100]

thank you so much, im actually looking for this .may god bless you. I subscribe :)

[@CrypticBTR]

thank you so very much. Very helpful video.

[@watasn5081]

For more solved question on the Joint Probability Density function click on the link below:
drive.google.com/file/d/1sEylHsFaX6aHTWjiCKaBqwaLcnfG0A7X/view?usp=sharing

[@yonhe2009]

That helps a lot! Thanks!!!

[@CT-mc3sy]

THANK YOU SO MUCH!!

[@RiazKhan-ut4xt]

The sum of all probabilities in your values is 25/24, that should be 24/24=1

[@nickklein4312]

Thanks, I'd like the video but it has 420 likes and I'm not gonna mess that up

[@CWA1]

Please next time show how you derived the marginal expectations

[@jiaqiliu1814]

Thank you sooooo much!!!!!

[@pyanamin1865]

wasn't the E(x)=24/24? how did you get 29/24?

[@sofiesbr2667]

Same question

[@seungyunha4286]

Thank you!:)

[@hype_henry_it]

thanks for the video

[@udaykumar-xz3jk]

Thanks!!

[@tjfirhfjejUTH24]

very helpful ty

[@asitranjanmaharathi3279]

Thanks a lot bro.. u saved me 🙏

[@abdullahkardas8887]

Thanks brother for covariance formula

[@rajaghani8972]

much effective tutorial

[@hezelmawedze2164]

yu did the vice versa there....but its nyce

[@Mike-cd4qg]

thanks

[@أحمدالبريكي-غ8ص]

Thanks a looot =)

[@iampks]

lovely :)

[@jalalnaji3710]

thank you so much i was looking for this and i have an exam tomorrow thanks sir

[@ABHISHEK8YADAV]

thanks sir dont make silly mistakes

[@lamborghini0610]

Thank you so much!!!!!!!!!!

[@present1forever]

thanks