Mean and Variance of Hypergeometric Distribution

[@sumathin7705]

Thanks a lot from bottom of my heart sir...from tamil nadu..its so useful ..crysral clear explanation...

[@beatrizximenes3635]

Thank you. This was very helpful!

[@dibyankpandey9680]

Thank you sir love ur EXPLAINATION

[@DrHarishGarg]

You are most welcome

[@obafemiopeyemi3203]

This was very helpful. Thank you.

[@debasishkamila9718]

Very excited lecture 😊😊
Thank so much sir

[@meenakshipradhan7175]

Thank you very much sir....
It helps me a lot.
Keep it up ....

[@DrHarishGarg]

Most welcome

[@dinushachathuranga7657]

Bunch of thanks sir❤

[@shrawankumarpatel2148]

Very very thanks sir

[@user-hm7cf3ns2u]

Really useful video sir🙏

[@DrHarishGarg]

Thanks dear .

[@KwalarDesmond-xp1hv]

Perfect

[@divyamverma2606]

Alternatively, we can write X as sum of iid indicator random variables and then find by linearity of expectation , using symmetry!

[@aragtidahorumarkabulshada8060]

thanks you very much i appreciate the you you proof

[@DrHarishGarg]

My pleasure always... Keep watching and sharing.

[@srishtitiwari2851]

Thanks sir 🙏

[@DrHarishGarg]

Most welcome

[@laughternights]

Thank you sir