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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.
Breifly explain three different examples of sampling?
simple random, stratified sampling, cluster sampling
What are the differences between systematic and stratified sampling?
Nothing! there the same
What are the advantages of systematic sampling as compared to stratified?
You can't conduct startified sampling if there are no difinative groups, thus systematic sampling is more efficient if your data has no groups.
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
Which is an effective use of stratified sampling?
Analyzing 20% of the items that are under $25,000
What is simple random sampling and stratified random sampling?
yes
Sampling in operations research and management?
semi stratified sampling
What is stratified random sampling?
cheese
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
