It means that every member of the population has the same probability of being included in the sample.
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It simply means that you have a sample with a smaller variation than the population itself. In the case of random sample, it is possible.
Circular systematic sampling is a random sampling method. An example is random sampling of households. Assume that a random number generator provides the number 49 as a starting point. Starting with the household that is 49 on the target list, every nth household on the list would be sampled until the desired sample size is reached
s is the sample standard deviation. it is computed by taking the square root of: sum(x-mean)2/n-1
If the sample is small or not randomly chosen, it may not have much meaning at all. If the random sample is large, it would generally be inferred that the distribution is symmetrical. The skewness of the data can be calculated.