Размер видео: 1280 X 720853 X 480640 X 360
Показать панель управления
Автовоспроизведение
Автоповтор
Thank you very much bro ! Upload for all topics and subjects 🙏
Love u brother 😍u just save my to much time literally u are osm
Awesome content bro Also do videos for General Aptitude (Gate) will be so usefull ❤️
thank you sir! having a test tomorrow and this really helped
awsome trick i really like it.
6:51 In Binomial formula it n-r instead of 1-r
Very useful 👍
So useful bro please continue this type of vedios
Superb 👌
Thanks a lot.....it helped me revise my concepts in a very short time😊
Most welcome 😊
bro, there may be error in the normal distribution formula -- in the denominator it should be [ (root 2 pi ) * sigma] that is f(x) = (1 / σ√(2π)) * e^(-((x - μ)^2) / (2σ^2))
ur content is very nice
Ghanay waaat Sarkar g
Ab video kyon nahi banate
Bhaiya like nahi reply manga tha
@@insightwonder 😄
Thank you
Ghanay waat 😍😗😆😪
😮
Bro if u have short notes in written format can u pls send to this mail id
Notes pdf send me please
Thank you very much bro ! Upload for all topics and subjects 🙏
Love u brother 😍u just save my to much time literally u are osm
Awesome content bro
Also do videos for General Aptitude (Gate) will be so usefull ❤️
thank you sir! having a test tomorrow and this really helped
awsome trick i really like it.
6:51 In Binomial formula it n-r instead of 1-r
Very useful 👍
So useful bro please continue this type of vedios
Superb 👌
Thanks a lot.....it helped me revise my concepts in a very short time😊
Most welcome 😊
bro, there may be error in the normal distribution formula -- in the denominator it should be [ (root 2 pi ) * sigma] that is f(x) = (1 / σ√(2π)) * e^(-((x - μ)^2) / (2σ^2))
ur content is very nice
Ghanay waaat Sarkar g
Ab video kyon nahi banate
Bhaiya like nahi reply manga tha
@@insightwonder 😄
Thank you
Ghanay waat 😍😗😆😪
😮
Bro if u have short notes in written format can u pls send to this mail id
Notes pdf send me please