Since you certainly do not know all possible values of this unknown distribution/population, you cannot calculate it's true properties. The only thing you have is a sample, no matter how many tests you run. If you run the test an billion number of times, your estimated properties are converging to the true values, but an error will still remain (maybe at the 100th decimal position, but it is there).
You can claim, that your sample is identical to the population, but to make such a statement you have to know the population which makes the drawing of the sample obsolete.
Nfor population size vs. littlenfor sample size) as well as the formula for variance (divided byNfor population vs. divided byn - 1for sample). – John-David Dalton Jan 22 '12 at 17:26