Lecture 4.6 - Association between two numerical variables - Covariance
Vložit
- čas přidán 20. 10. 2021
- Association between two numerical variables - Covariance
Prof. Usha Mohan
Department of Management Studies
IIT Madras
Introduce covariance measure and discuss how to interpret the same. IIT Madras welcomes you to the world’s first BSc Degree program in Programming and Data Science. This program was designed for students and working professionals from various educational backgrounds and different age groups to give them an opportunity to study from IIT Madras without having to write the JEE. Through our online programs, we help our learners to get access to a world-class curriculum in Data Science and Programming.
To know more about our Programs, please visit :
BSc Degree in Programming and Data Science - onlinedegree.iitm.ac.in/
Diploma in Programming / Data Science - diploma.iitm.ac.in/
"sign is very important"heard it after a long loong time ...would get to hear this a lot in physics class....😅
Nostalgic
kinematics to ray optics it gave us the way. then physics world got modernized and they took away my only friend. now i have no direction since there is no one to tell the way like the sign did.
@@ADARSHCHATURVEDI-gm7nd how beautiful....looks like you really loved her a lot 😢...be strong my friend, for this too shall pass 😞🫂
@efficaciousuave 🫂 Yep i loved her a lot even though she was imaginary. But so am i.
And yk what happens when 2 imaginary things combine?
They become real.
i×i=-1
Imaginary ---Real.
this week has megamind level stats
8:55 deviation of xì from its mean
what is the relevance of sample and population covariance ? why does it matter that we divide by n or (n-1) ?
Will be explained in future course
@@laxmanbafna1174 yes you are right
@@laxmanbafna1174 future means when??
@@ajormathew Stats 2. when you complete calc 2
We divide by n−1 in the final step when our data is a sample (which it usually is) because we are unsure of the true population mean
why did we divide the sum by 4 in sample covariance??
Because in sample covariance we divide the sum by (n-1) and here the number of observation is 5.
Very good teaching 👍👍