answersLogoWhite

0

What is stratified sampling?

Updated: 12/10/2022
User Avatar

Wiki User

16y ago

Best Answer

"statified sampling" is a way of getting an 'average' which represents the entire universe, or every thing that exists that somebody wants to count or measure. The entire universe is broken down into groups that dont overlap and a 'sample' is taken from each group. If it is done to the satifaction of statiticians, it can be as accurate, if not more because of the problems of counting and measuring everything, than a total count of measurments.

User Avatar

Wiki User

16y ago
This answer is:
User Avatar

Add your answer:

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

Are random sampling and stratified sampling one and same?

No.


What is simple random sampling and stratified random sampling?

yes


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?

cheese


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 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


Which sampling technique is appropriate for voting behaviour of people?

stratified sampling technique


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).


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