Properties of Sampling Distributions

Arrange the following statements, which describe properties of the sampling distribution of a sample mean and the central limit theorem (CLT), into a logical sequence.

A: The shape of the sampling distribution of the sample mean becomes approximately normal as the sample size increases.
B: The mean of the sampling distribution of the sample mean is equal to the population mean $\mu$.
C: The standard deviation of the sampling distribution of the sample mean is the population standard deviation divided by $\sqrt{n}$.
D: Sample means based on larger samples exhibit less variability.