As sample size approaches infinity, this distribution is a limiting case of the binomial distribution, and this distribution is often used as an approximation in accordance with the central limit theorem.
The Behrens-Fisher problem deals with testing whether two of these distributions have the same mean, and in least squares data-fitting, it is assumed that errors follow this distribution. As sample size approaches infinity, this distribution is a limiting case of the binomial distribution, and this distribution is often used as an approximation in accordance with the central limit theorem. Defined in terms of its mean and variance, For 10 points, name this continuous probability distribution sometimes called the Gaussian distribution or the "bell curve".
The Behrens-Fisher problem deals with testing whether two of these distributions have the same mean, and in least squares data-fitting, it is assumed that errors follow this distribution.
{Normal} Distribution [prompt on {Gaussian} Distribution before mentioning; prompt on {Bell Curve} before mentioning]