Normal Law

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By thecounterpunch


Normal Law is just a "common sense" law

Normal Law known popularly as the "Bell Curve" or mathematically as the "Gaussian" Law is just a "common sense" law:

It describes mathematically the idea that extremes are rare and elements around averages more and more numerous. So Normal Law could obviously not be a half-circle nor a square but a bell curve.

To characterize the Bell Curve, we only need two parameters: a mean around which most of the population will be found and a standard deviation which impacts the distance between the average and the queues of the extremes.

Normal Law is represented mathematically by a Bell Curve

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me  says:
11 months ago

This does nothing to help someone understand. There is no such thing as common sense. Sense is uncommon in every respect and in every field of knowledge, especially ignorance.

And lastly, you did not define what a rare event is.

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thecounterpunch  says:
11 months ago

>This does nothing to help someone understand. There is no such thing as common sense. Sense is uncommon in every respect and in every field of knowledge, especially ignorance.

"Common sense" was in quote. The way Normal Law is generally explained at school through "Central Limit Theorem (CLT)" (see here http://statistical-process-control.blogspot.com/20 which is also one of my blogs ) so maybe my explanation above is not as clear as you would like but I was trying to making it more intuitive than the mathematical one.



>And lastly, you did not define what a rare event is.

Because this hub was not intended to be a full course on Probability as I'm not sure it really interests many people but maybe I will complete it one day upon your suggestion above :)

daingbro  says:
3 weeks ago

that guy just burned ur blog damn!!!!!!!!!!!!!!!!!!!

all i gota say is damn

Michael  says:
27 hours ago

This is one of the first things you will learn when you get to higher education

It just explains the general nature of the distribution of a normal data set.

Sometimes there is a tail in the normal distrbution, this represents a skew from the normal distribution

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