In statistics, Sampling is the selection of a subset of individuals within a statistical population to estimate the characteristics of the entire population.
The aim is to collect representative samples of the population in question.
Sampling has lower costs and faster data collection than measuring the entire population and can provide information in cases where it is not possible to measure an entire population.
Each observation measures one or more properties of independent objects or individuals.
In survey sampling weights can be applied to the data to fit the sampling design especially in stratified sampling.
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