Explain why increasing the sample size tends to result in a smaller sampling error when a sample mean is used to estimate a population mean.

A. If the sample size is larger, the possible values of $\bar{x}$ are farther from the mean of $\bar{x}$
B. The larger the sample size, the more closely the possible values of $\bar{x}$ cluster around the mean of $\bar{x}$
C. The above statement is incorrect, the sample size has no effect on the sampling error.