To find PDF and unknown value k when CDF of continuous random variable is given

In this video discussed an example where cumulative distribution function ( CDF ) F(x) of continuous random variable is given and we have to find an unknown value k and probability density function PDF f(x)

[@maths.tutor4u172]

There is a correction:- @ 4.30 , while explaining CDF on a number line, F(x)=1 for x >=3. Kindly rectify it

[@greego5952]

Thanks for the correction.

[@navaneetsingh2407]

Mam u just killed it

[@MohdAli-me4my]

Thanks 🎉 mam bring more question also on least square to fit in a straight line of the following data
Probability joint density function

[@abhinav-hh2ms]

Mam thanks for explaining i didn't saw explanation like this ever rq mam

[@KISAKYEBENJAMIN-gw6nc]

Thanks madam for digesting the concept for me

[@mausamthapa3007]

Thank you so much mam🎉😊

[@Chad-be3jm]

thanks mam

[@joshualucheni6438]

thanks a lot mam.

[@pinkkitty6553]

thanks a lot mam

[@Teddy_boi.04]

Pls on the number line X>3 should be 1 not 0

[@maths.tutor4u172]

yes , i mentioned rectification it in my pinned message

[@rksadvancedclasses6387]

F(x) = 1 hoga na greater then 3

[@maths.tutor4u172]

yes [ (CDF F(x)=1 for 3 and more than 3]

[@roshini7369]

@@maths.tutor4u172 but 4:30 you said F(x) = 0 for the third interval ? it should be 1 right if its greater than 3

[@maths.tutor4u172]

@@roshini7369 correct, By mistake, it was written 0, you are right it is 1, and after the derivative, it becomes 0.

[@joshualucheni6438]

thanks a lot mam.