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Typically, the population is very large .Makes census or a complete enumeration of all the individuals in the population either impractical or impossible. The sample usually represents a subset of manageable size. Samples are collect and statistics are calculate from the samples. This one can make inferences or extrapolations from the sample to the population.
A complete sample is a set of objects from a parent population. They includes all such objects that satisfy a set of well-define selection criteria.[failed verification] For example, a complete sample of Australian men taller. Than 2 m would consist of a list of every Australian male taller than 2 m. But it wouldn’t include German males, or tall Australian females, or people shorter than 2 m.
A sample that is not random is call a non-random sample or a non-probability sampling. Some examples of nonrandom samples are convenience samples, judgment samples, purposive samples, quota samples, snowball samples, and quadrature nodes in quasi-Monte Carlo methods.
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