Based on the central limit theorem, the size of the sampling error is A. Directly related to the sample size, i. e., the larger the sample size the larger the sampling error. B. Directly related to the population mean, i. e., the larger the mean, the larger the sampling error C. Inversely related to the sample size, i. e., the larger the sample size the smaller the sampling error. D. Inversely related to the population standard deviation, i. e., the smaller the standard deviation, the larger the sampling error.