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.
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.
Chat with our AI personalities
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.
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.