Stratified sampling

How it is used

Used when every important subgroup must be properly represented. Sampling can be proportional to each stratum's size, or small groups can be oversampled, which then requires weighting. Singular 'stratum', plural 'strata'.

Example sentences

1. We used stratified sampling by region so that all seven regions of Türkiye were represented.

2. Stratified sampling gave us more precise estimates than a simple random sample of the same size.

Common collocations

• stratified random sampling
• stratify by region
• proportional stratified sampling
• within each stratum

Related terms

• random sampleA sample chosen so that every member of the population has a known, usually equal, chance of being selected, which helps avoid systematic bias.
• sampling frameThe actual list or source from which a sample is drawn, such as a student register, a customer database or a list of addresses.
• weighted averageAn average in which some values count more than others: each value is multiplied by a weight, the results are added, and the total is divided by the sum of the weights.
• sampleA smaller group selected from a population and actually studied, so that conclusions about the whole population can be drawn from it.
• convenience sampleA sample made up of people who are easy to reach, such as students in the researcher's own class or visitors to a website, rather than people chosen at random.

More terms: Sampling

• population
• sample size
• sampling error
• bias