Stratified sampling
Stratified Sampling
Stratified sampling (pronunciation: stra-ti-fied sam-pling) is a method of sampling from a population which can be partitioned into subpopulations.
Etymology
The term "stratified sampling" is derived from the statistical term "stratum" (plural: strata), which refers to a layer or a series of layers of rock in the ground or a level or class to which people are assigned according to their social status, education, or income. In this context, "stratified" refers to the process of dividing a population into subgroups or "strata", and "sampling" refers to the selection of individual observations.
Definition
In Statistics, stratified sampling is a method of sampling that involves the division of a population into smaller groups known as strata. In stratified sampling, the strata are formed based on members' shared attributes or characteristics. A random sample from each stratum is taken in a number proportional to the stratum's size when compared to the population. These subsets of the strata are then pooled to form a random sample.
Related Terms
- Simple Random Sampling: A sampling method where every member of a population has an equal chance of being selected.
- Systematic Sampling: A statistical method involving the selection of elements from an ordered sampling frame.
- Cluster Sampling: A sampling technique used when "natural" but relatively homogeneous groupings are evident in a statistical population.
- Quota Sampling: A method of sampling where segments of the population are identified and then sampled a proportional amount.
- Non-probability Sampling: A sampling method where some elements of the population have no chance of selection.
See Also
External links
- Medical encyclopedia article on Stratified sampling
- Wikipedia's article - Stratified sampling
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