Inverse Normal Distributions - How it all Works

The inverse normal distribution function allows us to calculate the value of a continuous random variable X, given the probability that X be less than that value. It is the inverse of the normal cumulative density function. We work through examples in which we learn how to use the inverse normal function and see how it is different from the normal cumulative density function.

[@Glassful]

Wow...What I thought was a sort of monstrous concept turned out to be relatively easy. Thank you for explaining it in a layman's language.

[@RadfordMathematics]

Thanks so much Himanshu! Truly appreciate your comment!
Most importantly I’m so glad this video helped 😊
Take good care ✌️

[@biloliddinfarkhodov3956]

I'm tired of MINT ads. But the video deserves like, it's well explained. Thank you teacher!

[@adamking4038]

This is the seconded time I've watched your stats videos and they are great, Keep up the good work!

[@RadfordMathematics]

Thanks for the comment and the kind words Adam 😊
Truly glad it helps ✌️

[@dapow-nevergonebroke4812]

This video hit different. Thank you very much

[@caomoletimoloi6565]

Powerful lecture!!!

[@danterplayz842]

you're a lifesaver... THANKS !!!!

[@RadfordMathematics]

Hi Danterplayz, thanks for taking the time to comment! I really appreciate it 😊
Truly glad this video helped!!!
Take good care ✌️

[@Bulldogge98]

very helpful, thank you for the video

[@MikeWaldon]

Have you confused the inverse of the normal distribution with the inverse normal distribution? en.wikipedia.org/wiki/Inverse_Gaussian_distribution?wprov=sfla1

[@lucapalese475]

that s unfortunate :(

[@sajjadhossen1702]

Thanks. Inverse normal function works with left portion. This is helpful. 😊

[@RadfordMathematics]

Thanks for your comment!
I’m really glad it helped 😊

[@slevasnara]

This is so helpful! thankyou!!

[@RadfordMathematics]

Thanks for your comment Taruly! I’m really glad this video helped 😊.
Take good care ✌️

[@itspyle4768]

Got a test in an hour this is clutch

[@RadfordMathematics]

Really hope it helped!!
Good luck for the test! 😊

[@rafaella9700]

Thanj¿k you so much, the anwser was so simple yet I did'nt know how to find the table statistic for a right tail test in a chi^2 distribution. Thank you again.

[@RadfordMathematics]

Really glad it helped 😊

[@JoelDonn-qs7qx]

Thanks sir much ❤️

[@RadfordMathematics]

Really glad it helped 😊
Take good care!

[@FlexThoseMuscles]

F^(-1) solved, im saved

[@RadfordMathematics]

Really glad it helped 😊

[@christiangalbraith241]

i love you

[@RadfordMathematics]

Not quite sure how to respond to that 😊.
Jokes aside thanks for your comment Christian! Truly glad this video helped!
Take good care 🌱

[@HydroElectricGamers]

I believe it is wrong because when I put it on my calculator I get different values

[@HydroElectricGamers]

Could you explain it please?

[@RadfordMathematics]

Hi Soryie,
Thanks for your comment 😊
Could you be more specific? If I made a “silly” mistake, I will be more than happy to correct it.
Walk me through what you did.
Wishing you all the best!
Take good care ✌️

[@HydroElectricGamers]

@@RadfordMathematics so I put it on my calculator using the inverse normal distribution with area = 0.75, mean = 88 and mew = 19 and I got 78.35508295.... so on

[@mattsharp5999]

@@HydroElectricGamers The video seems right to me. I don't understand where you've gone wrong, but 78.355 is less than the mean. We clearly need a value for Q that is greater than the mean.