CDF Approach | RV Transform Probability Distribution

Finding the probability distribution for Y of the transform of a probability distribution for X.
Thanks for watching!! ❤️
Tip Jar 👉🏻👈🏻
☕️ ko-fi.com/math...
♫ Eric Skiff - Chibi Ninja
freemusicarchiv...

[@asht7788]

Believe me or not, I was searching for hours to find a video like this. It is a unique topic in its own way. Thank you so much.

[@devsutong]

very helpful thank you so much!!! keep sharing unpopular stuff like these.. you never know how much one wants to understand it🥺♥️♥️

[@mathetal]

thank u :)

[@vagosplayer]

Shouldn't this be P(-sqrt(y) =< u =< sqrt(y)) ??

[@TheGreatSarastro]

Y is always positive because it's a square of U

[@filmy9720]

U^2U^2

[@tosinoladokun1891]

Thank you so much.❤

[@shhh9162]

lord i couldn’t tell the difference between the upper and lower case ‘f’ :/

[@dunisanisambo9946]

Lol, I hope you managed to grasp it thou. I just listened to pdf or cdf, knowing that pdf is lower case and pdf upper case.

[@avip3837]

this was a to convenient example. what do you do when the the variable U is distributed on [-1,1]? how do you take into consideration the negative values now?

[@chenoa2056]

very helpful, thank you!

[@taetaesbae2822]

thanks a lot. it helped

[@thomasjefferson6225]

sometimes problems come out with a 1 minus the y transformation. What is the reasoning for that, since this one didnt have a 1 - sqrt(y)

[@algorithmo134]

How did you go from F(sqrt(y)) to F(y)?

[@dannyisrael]

I don't understand :(