Because many naturally occurring variables were approximately distributed according to a Normal bell shaped curve.
Because many naturally occurring variables were approximately distributed according to a Normal bell shaped curve.
Because many naturally occurring variables were approximately distributed according to a Normal bell shaped curve.
Because many naturally occurring variables were approximately distributed according to a Normal bell shaped curve.
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Because many naturally occurring variables were approximately distributed according to a Normal bell shaped curve.
yes
Actually the normal distribution is the sub form of Gaussian distribution.Gaussian distribution have 2 parameters, mean and variance.When there is zero mean and unit variance the Gaussian distribution becomes normal other wise it is pronounced as Gaussian.Wrong! The standard normal distribution has mean 0 and variance 1, but a normal distribution is the same as the Gaussiand, and can have any mean and variance. Google stackexcange "what-is-the-difference-between-a-normal-and-a-gaussian-distribution"
A normal data set is a set of observations from a Gaussian distribution, which is also called the Normal distribution.
The mean is 0 and the variance is 1. This need not be the case in any other Normal (Gaussian) distribution.
A Gaussian distribution is the "official" term for the Normal distribution. This is a probability density function, of the exponential family, defined by the two parameters, its mean and variance. A population is said to be normally distributed if the values that a variable of interest can take have a normal or Gaussian distribution within that population.