For example, a manufacturer needs to decide whether a batch of material from production is of high enough quality to be released to the customer or should be scrapped or reworked due to poor quality. Sometimes what defines a population is obvious. Because there is very rarely enough time or money to gather information from everyone or everything in a population, the goal becomes finding a representative sample (or subset) of that population. A population can be defined as including all people or items with the characteristics one wishes to understand. In sampling, this includes defining the " population" from which our sample is drawn. Successful statistical practice is based on focused problem definition. Acceptance sampling is used to determine if a production lot of material meets the governing specifications. In business and medical research, sampling is widely used for gathering information about a population. Results from probability theory and statistical theory are employed to guide the practice. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly in stratified sampling. Sampling has lower costs and faster data collection compared to recording data from the entire population, and thus, it can provide insights in cases where it is infeasible to measure an entire population.Įach observation measures one or more properties (such as weight, location, colour or mass) of independent objects or individuals.
Statisticians attempt to collect samples that are representative of the population.
In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. A visual representation of the sampling process For other uses, see Sampling (disambiguation).
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