Final answer:
As the sample size increases, there will be a decrease in the standard deviation of the sampling distribution of the means.
Step-by-step explanation:
The central limit theorem states that as the sample size increases, the sampling distribution of the means approaches a normal distribution with the same mean as the original distribution and a variance that is equal to the original variance divided by the sample size. Therefore, with an increase in sample size, there will be a decrease in the standard deviation of the sampling distribution of the means. This makes option D) Decrease in standard deviation the correct answer.