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Stratified sampling is used where the population to be sampled can be divided into subsets, called strata, according to some criterion. Each of these strata are then treated as population and random samples representing the same sampling proportion are taken from each stratum. This ensures that in the overall sample, the number from each stratum is proportional to the size of the stratum in the population.

So, for example, if the population consists of 100 boys and 150 girls and you want a sample of 25.

The overall sampling proportion is 25/(100+150) = 25/250 = 1/10.

So the sampling procedure is to take a simple random sample of 10 boys out of 100 and a simple random sample of 15 girls out of 150.

If the whole sample were selected randomly, there is only a 17% probability that it would have been 10 boys and 15 girls. Stratification ensures both genders are represented proportionally in the sample.

Q: How is stratified sampling applied?

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cheese

They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.

simple random, stratified sampling, cluster sampling

Nothing! there the same

You can't conduct startified sampling if there are no difinative groups, thus systematic sampling is more efficient if your data has no groups.

Related questions

No.

yes

semi stratified sampling

Some common methods used in conducting research include surveys, experiments, interviews, case studies, and observations. These methods allow researchers to collect data, analyze it, and draw conclusions based on the findings. Researchers often choose the method that best aligns with their research questions and objectives.

cheese

stratified random sampling is a sample(strata) that a same and hemogenieous in group and that a different and heterogenious in group

They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.

ang hirap!

The main difference between the quota and stratified sampling is that in the stratified sampling the researcher can not select the individuals to be included in the sample (he doesn't have control over who will be in the simple), but in the quota sampling the researcher has control over who will be in the sample (he can contact certain people and include them in the sample).

stratified sampling technique

simple random, stratified sampling, cluster sampling

Stratified sampling