Best Answer

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.

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.

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.

More answers

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.

Q: How did the normal distribution get its name?

Write your answer...

Submit

Still have questions?

Continue Learning about Other Math

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

The domain of the normal distribution is infinite.

It means distribution is flater then [than] a normal distribution and if kurtosis is positive[,] then it means that distribution is sharper then [than] a normal distribution. Normal (bell shape) distribution has zero kurtosis.

No. Normal distribution is a special case of distribution.

The normal distribution can have any real number as mean and any positive number as variance. The mean of the standard normal distribution is 0 and its variance is 1.

Related questions

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

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

It is another name for the Gaussian 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.

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

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

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

zscore

When its probability distribution the standard normal distribution.

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!!

No, the normal distribution is strictly unimodal.

The domain of the normal distribution is infinite.