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