What is the mean of the sample means?

What is the standard deviation of the sample means?

If you have multiple samples, their means will have a distribution. The mean and SD for that distribution answers your question.

To calculate the mean of the sample means, you first need to understand how to calculate the sample mean. The sample mean is found by adding up all the values in a sample and dividing by the number of values in the sample.

Now, to find the mean of the sample means, you need to take multiple samples from a population and calculate the mean for each sample. Then, you take the average of all the sample means to find the mean of the sample means.

As for the standard deviation of the sample means, it is also known as the standard error of the mean (SEM). The standard deviation of the sample means is calculated by taking the standard deviation of the population (or sample), and dividing it by the square root of the sample size.

To summarize:
- To find the mean of the sample means, take multiple samples, calculate the mean for each sample, and then find the average of all the sample means.
- To find the standard deviation of the sample means, divide the standard deviation of the population (or sample) by the square root of the sample size.