Rick:

The mean of the mean is the mean (if you know what I mean!).

Jon Cryer

In detail: The mean (or expected value) of the sampling distribution of the 
sample mean under random sampling
with or without replacement is the same as the mean of the population being 
sampled.

At 08:17 AM 3/9/2002 -0800, you wrote:
>Can anyone straighten me out??
>
>Suppose a random sample of "n" measurements is selected from a
>population with mean u=100 and variance =100.  For "n=4" give the mean
>and standard deviation of the sampling distribution of the sample mean
>(x-bar).
>
>I can figure out the standard deviation, sigma/sq root of n  how does
>one arrive at the "mean"??
>
>For this problem, the standard deviation of the sampling distribution
>would be 10/sq root of 4 or 10/2 = 5.  Anyone agree??
>.
>.
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