"statified sampling" is a way of getting an 'average' which represents the entire universe, or every thing that exists that somebody wants to count or measure. The entire universe is broken down into groups that dont overlap and a 'sample' is taken from each group. If it is done to the satifaction of statiticians, it can be as accurate, if not more because of the problems of counting and measuring everything, than a total count of measurments.
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Random Sampling is the most common sampling technique
conclusion to the statistics sampling
Sampling is needed in order to determine the properties of a distribution or a population. Sampling allows the scientist to determine the variance in an estimate.
It means...Layers that are "PRESSED" together.
sampling theorem is defined as , the sampling frequency should be greater than or equal to 2*maximum frequency, and the frequency should be bounded.. i,e fs=2*fmax where fs= sampling frequency