The amount of error created by applying this theorem to intermediate values is the subject of the
 Berry-Esseen theorem. The Cramer-Wold theorem can be used to generalize this in a multivariate manner.
 The de Moivre-Laplace theorem is a special case of this. One statement of this is named for Feller and
 Lindeberg and this is true when Lyapunov's 
The amount of error created by applying this theorem to intermediate values is the subject of the
 Berry-Esseen theorem. The Cramer-Wold theorem can be used to generalize this in a multivariate manner.
 The de Moivre-Laplace theorem is a special case of this. One statement of this is named for Feller and
 Lindeberg and this is true when Lyapunov's condition holds. A rule of thumb resulting from this is that one
 should have a minimum of 30 in a sample when the population is non-Gaussian. When sampling, this
 theorem implies a distribution with standard deviation sigma over square root n. For 10 points, name this
 theorem that implies as sample sizes get larger, the distribution of sample means approaches a normal
 distribution.
The amount of error created by applying this theorem to intermediate values is the subject of the
 Berry-Esseen theorem.
{central limit} theorem