Best Answer

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.

User Avatar

Wiki User

10y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: How is stratified sampling applied?
Write your answer...
Still have questions?
magnify glass
Related questions

Are random sampling and stratified sampling one and same?


What is simple random sampling and stratified random sampling?


Sampling in operations research and management?

semi stratified sampling

What the methods being used in conducting a research?

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.

What is stratified random sampling?


What are the example of stratified random sampling?

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

What are the various kind of sampling?

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

How is simple random sampling and stratified sampling related?

ang hirap!

What is the difference between quota and stratified sampling?

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).

Which sampling technique is appropriate for voting behaviour of people?

stratified sampling technique

Breifly explain three different examples of sampling?

simple random, stratified sampling, cluster sampling

Which sampling technique can assure that the profile of the sample matches the profile of the population?

Stratified sampling