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According to the Central Limit Theorem the sum of [a sufficiently large number of] independent, identically distributed random variables has a Gaussian distribution. This is true irrespective of the underlying distribution of each individual random variable.

As a result, many of the measurable variables that we come across have a Gaussian distribution and consequently, it is also called the normal distribution.




According to the Central Limit Theorem the sum of [a sufficiently large number of] independent, identically distributed random variables has a Gaussian distribution. This is true irrespective of the underlying distribution of each individual random variable.

As a result, many of the measurable variables that we come across have a Gaussian distribution and consequently, it is also called the normal distribution.




According to the Central Limit Theorem the sum of [a sufficiently large number of] independent, identically distributed random variables has a Gaussian distribution. This is true irrespective of the underlying distribution of each individual random variable.

As a result, many of the measurable variables that we come across have a Gaussian distribution and consequently, it is also called the normal distribution.




According to the Central Limit Theorem the sum of [a sufficiently large number of] independent, identically distributed random variables has a Gaussian distribution. This is true irrespective of the underlying distribution of each individual random variable.

As a result, many of the measurable variables that we come across have a Gaussian distribution and consequently, it is also called the normal distribution.


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11y ago
According to the Central Limit Theorem the sum of [a sufficiently large number of] independent, identically distributed random variables has a Gaussian distribution. This is true irrespective of the underlying distribution of each individual random variable.

As a result, many of the measurable variables that we come across have a Gaussian distribution and consequently, it is also called the normal distribution.


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Q: How did the normal distribution get its name?
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Is A normal distribution is any distribution that is not unusual?

No, it is the name given to the Gaussian distribution.


What does normal distribution mean in maths?

It is another name for the Gaussian distribution.


What is a normal distribution graph called?

It has no special name - other than a normal (or Gaussian) distribution graph.


Another name for the Normal Distribution?

Gaussian distribution. Some people refer to the normal distribution as a "bell shaped" curve, but this should be avoided, as there are other bell shaped symmetrical curves which are not normal distributions.


What is the difference between a normal distribution and the standard normal distribution?

The standard normal distribution is a normal distribution with mean 0 and variance 1.


What is the difference of a normal distribution and a stardard normal distribution?

The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.


Is continuous distribution normal distribution?

le standard normal distribution is a normal distribution who has mean 0 and variance 1


When can you say the distribution is considered normal?

When its probability distribution the standard normal distribution.


Another name for a standardized value of an observation in a normal distribution?

zscore


Why is the Normal Distribution called normal?

Suppose you could call it the Gaussian Distribution or the Laplace-Gauss (not to be confused with the Laplace distribution which takes an absolute difference from the mean rather than a squared error)... however the Brits had no one to name this distribution after (not the German and French names) and because it is the ubiquitous distribution they just called it... well the NORMAL!!


Does a normal probability distribution include a bimodal distribution?

No, the normal distribution is strictly unimodal.


Is normal distribution also a probability distribution?

Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.