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"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.
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What is common sampling technique in communication system?
Random Sampling is the most common sampling technique
Conclusion of sampling in statistics?
conclusion to the statistics sampling
Why sampling needed?
Sampling is needed in order to determine the properties of a distribution or a population. Sampling allows the scientist to determine the variance in an estimate.
What is stratified?
It means...Layers that are "PRESSED" together.
State sampling theorem?
sampling theorem is defined as , the sampling frequency should be greater than or equal to 2*maximum frequency, and the frequency should be bounded.. i,e fs=2*fmax where fs= sampling frequency
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 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.
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
How is simple random sampling and stratified sampling related?
ang hirap!
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
Mention different types of sampling in statistics.?
Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
