To answer your question about the distribution of sample means, we'll use the properties of the normal distribution.

1. Mean of the Distribution of Sample Means: The mean of the distribution of sample means (also known as the sampling distribution) is equal to the mean of the population. If the population mean is denoted as $\mu$, then the mean of the sample means is also $\mu$.

2. Standard Deviation of the Distribution of Sample Means: The standard deviation of the distribution of sample means, also known as the standard error (SE), is calculated using the formula: $\text{SE} = \frac{\sigma}{\sqrt{n}}$ where $\sigma$ is the standard deviation of the population and $n$ is the sample size.

To provide specific numerical answers, please supply the population mean ($\mu$), the population standard deviation ($\sigma$), and the sample size ($n$).