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Q: What is stratified random sampling?
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Related questions

What is simple random sampling and stratified random sampling?

yes


Are random sampling and stratified sampling one and same?

No.


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 method is based on probability?

There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.


How is simple random sampling and stratified sampling related?

ang hirap!


Mention different types of sampling in statistics.?

Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling


What is the difference between stratified and random sampling?

In a stratified sample, the sampling proportion is the same for each stratum. In a random sample it should be but, due to randomness, need not be.


What are the various kind of sampling?

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


Breifly explain three different examples of sampling?

simple random, stratified sampling, cluster sampling


Is the best description of a stratified random sample?

Stratified random sampling is a form of probability sampling that provides a methodology for dividing a population into smaller subgroups as a means of ensuring greater accuracy of your high-level survey results. The smaller subgroups are called strata. Stratified random sampling is also called proportional or quota random sampling.


What is anopther name for systematic sample?

Stratified random sampling.


What is a stratified random sample?

Stratified random sampling is a sampling scheme which is used when the population comprises a number of strata, or subsets, which are similar within the strata but differ from one stratum to another. One example is school children stratified according to classes, or salaries stratified by departments.A simple random sample may not have enough representatives from each stratum and the solution is to use stratified random sampling. Under this scheme, the overall sampling proportion (sample size/population size) is determined and a sample is drawn from each stratum which represents the same proportion.