Based on the central limit theorem, the size of the sampling error is .. O A. inversely related to the variance, i.e., the larger the variance the smaller the sampling error. O B. directly related to the variance, i.e. the larger the variance, the larger the sampling error. O C. directly related to the sample size, i.e., the larger the sample size the larger the sampling error. O D. inversely related to the population standard deyiation, i.e. the smaller the standard deviation, the larger the sampling error.

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