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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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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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Wiki User

12y ago
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Q: How did the normal distribution get its name?
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