- #1

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Let me take a shot first...

1.) Sample Variance is just the variance of the sample, like u have 5 objects from a pool of 1000 objects... the sample variance is just the variance of the 5 objects itself, it has nothing to do with the rest of the objects.

2.) Variance of the Sampling Distribution, (Population Variance)/n is variance of the number of samples? You have 1000 objects... 20 samples of 50 objects each... so it is the variance for the 20 samples? And the sampling distribution variance of the 20 samples are all the same. Which means n is the number of samples, not the number of objects in a single or the entire population?

In other words, in terms of maths problem(Not real life), it is usually impossible to compute the Variancce of Sampling Distribution of a very large number, unless you are provided with the Population Variance and number of Sample Distributions?