The Normal Distribution, Clearly Explained!!!

After 2 college degrees, I finally understood it well with this video. Thank you

Grrrrrrrrrrrrrrrreatt :]

5 minutes gone a waste😂

by "Normal", it's meant that is it the "most usual one" or "as it should be-normal"? The other distributions I guess are not considered "Not normal/with some trouble" :)

Thank you so much for this clear and concise video about statistics, a topic that I'd like to learn more however I never had good teachers or the dedication to learn it further

As a English learner, I get lost at the beginning.

PerFect

BBBBam##

Thank you!

I cant understand math but then look at this, i learned how to sing

Here we are again for my x-rays lab exam :D

I'm literally about to take my math 4 test and i'm a sophomore😭

i totally didnt fall asleep in class, miss the entire lesson, and completely lose any sense of direction in my class wdym 😁😁😁

I'm on my way to college I have a presentation today and guess what you explained me this quite well !!

W intro

thanks a lot for your work, really helped me to understand the normal distribution better than anything i've read/watched before!

what is relative probability?

what a stupid intro song

Nice teaching sir

Thank you for this succinct video.

for the low probability of measuring a man +/- 2 standard deviations from the mean, he meant 8 inches right? Not 1.2 because that is the standard deviations of the babies?

Thank you for this!

this was super helpful, thank you su much.

i love you, marry me

Its super super exciting to watch your video ,you are doing great job i always had fear of learning statistics but you explained in a very simple way,,Thank you You are awesome

I need calculations on normal distribution how to solve them like finding the probability and the Z scores

I liked the explanation. Just one small thing i would like to add which many people might overlook.
In real life situations, we do not draw the curve such that its width is defined by the std dev.
Its the other way around. Like we just have data points from which we plot the curve. Then if its a curve satisfying these parameters discussed in the vid, we named it normal disrtibution. So , for example "Peak of the curve is given by avg" is not same as "peak of the curve happens to be the avg".
Idk if i explained it properly but i jusy wanted to point out that the bell curve is not bound to follow these avg and std dev values, more like in this case of disrtibution, which we call as normal, the avg, std dev etc values fall in such that, say 95% of data is inside avg +- sigma width.

the function f(x)??

😂😂

WHat if I am analysing true of false results? As example, what this graph would look like regarding the chance of picking a white person in the USA versus in China?

I don’t get it still…

It's looks like a nipple also

Dear Josh , would you like to make videos on GRTS (Generalized Randomization Tesselation and Stratification) not many study sources are there on this sampling.

Thank you so much for this.

I spent a good hour re-reading the subchapter on gaussian distribution in my university textbook and I just could not wrap my head around it. This video made it so simple and it has finally "clicked" in my tired, frustrated brain.

Very much appreciated <3

another great video

Thanks carolina! Please hold no anger toward me for I have done you no wrong!and please succeed at all you may do.its the point you are given.not the points you take.

Nice!👍👍👍

Marvellous explanation.

How we calculate deviation of 20 is 1.2 with 2 standard deviation?

People who are here because of the meme
⬇️

The Lord God bless you for this video☺

Is there any explanation regarding Gaussian regression process? If there, please let me know.

How were those standard errors calculated??

you are legen wait for it dary