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Are random sampling and stratified sampling one and same?
No.
When is it appropriate to use stratified random sampling?
it can be used when members of the population are heterogenous
What is simple random sampling and stratified random sampling?
yes
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.
Which sampling technique can assure that the profile of the sample matches the profile of the population?
Stratified sampling
Are random sampling and stratified sampling one and same?
No.
When is it appropriate to use stratified random sampling?
it can be used when members of the population are heterogenous
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?
Quota sampling stratified sampling random sampling convenient sampling cluster sampling semi stratified sampling stratified quota
What is stratified random sampling?
cheese
How is simple random sampling and stratified sampling related?
ang hirap!
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster 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
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
