# Sampling (Statistics)

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## References

- http://en.wikipedia.org/wiki/Sampling_(statistics)
- Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. Each observation measures one or more properties (weight, location, etc.) of an observable entity enumerated to distinguish objects or individuals. Survey weights often need to be applied to the data to adjust for the sample design. Results from probability theory and statistical theory are employed to guide practice. In business, sampling is widely used for gathering information about a population. [1]
- 4 Probability and nonprobability sampling
- 5 Sampling methods

- Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. Each observation measures one or more properties (weight, location, etc.) of an observable entity enumerated to distinguish objects or individuals. Survey weights often need to be applied to the data to adjust for the sample design. Results from probability theory and statistical theory are employed to guide practice. In business, sampling is widely used for gathering information about a population. [1]

o 5.1 Simple random sampling o 5.2 Systematic sampling o 5.3 Stratified sampling o 5.4 Probability proportional to size sampling o 5.5 Cluster sampling o 5.6 Matched random sampling o 5.7 Quota sampling o 5.8 Mechanical sampling o 5.9 Convenience sampling o 5.10 Line-intercept sampling o 5.11 Panel sampling o 5.12 Event Sampling Methodology