For 10 points, give this common distribution sometimes called the "bell curve."
This entity always has a kurtosis of zero, and the area under this curve between any two points is proportional to the difference in the error function at those points. As the number of samples increases, the binomial distribution approaches this curve, whose standard form has mean zero and variance one. By the Central Limit Theorem, the distribution of the means of a set of random variables will converge to this distribution. For 10 points, give this common distribution sometimes called the "bell curve."
This entity always has a kurtosis of zero, and the area under this curve between any two points is proportional to the difference in the error function at those points.
{normal} distribution curve [or {Gaussian} distribution curve; or bell curve before read]