Anything "can be assumed" to be anything. This does not make it so. Almost all natural and social phenomena are fractally and heteroskedastically distributed, usually with fat-tailed distributions. Outliers are information. Anything normally distributed is noise. The "results" of "IQ" tests are reports beaten into desired shapes in accordance with the plans of ver-ree sophisticated experts. The normal distribution and the Central Limit Theorem are about large assemblies of collections of data. The data may be about the real world. Any collection of it may or may not distort the conclusions you can draw about it; the assemblies of the collections are getting pretty distant. That's where the Central Limit Theoren steps in and says "eventually this will possibly approach a normal distribution. Perhaps." And then, particularly in American academia, soi distant experts step in and start dictating stuff. But if you pay attention to Eddy, a superb math teacher, you may be able to see through them.
A much easier way to work out c) is to realise that x>=130 is z>=2, which is half of 100% - everything within 2SD, so (100%-95%)/2, = 2.5%. Simples.
Excellent video and very well explained. I've also been teaching some statistics in one of my classes, and I'll have to show them this video
Thanks for the amazing teaching
Why am I watching math for fun?
FerroKardo _ Same. I think I got turned onto his channel for my stat class last semester and just got hooked cause he’s a good teacher.
Great teaching
Anything "can be assumed" to be anything. This does not make it so. Almost all natural and social phenomena are fractally and heteroskedastically distributed, usually with fat-tailed distributions.
Outliers are information. Anything normally distributed is noise.
The "results" of "IQ" tests are reports beaten into desired shapes in accordance with the plans of ver-ree sophisticated experts.
The normal distribution and the Central Limit Theorem are about large assemblies of collections of data. The data may be about the real world. Any collection of it may or may not distort the conclusions you can draw about it; the assemblies of the collections are getting pretty distant. That's where the Central Limit Theoren steps in and says "eventually this will possibly approach a normal distribution. Perhaps." And then, particularly in American academia, soi distant experts step in and start dictating stuff.
But if you pay attention to Eddy, a superb math teacher, you may be able to see through them.
Hi I had a doubt in Normal Distribution
We plot Roy's Safety first ratio in Normal Distribution
Can we also plot IRR=Max return an investor can earn
The guy in the center is so mean! And some guys around them deviate some until the rest of the guys are meaningless.
First