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Are random sampling and stratified sampling one and same?

Anonymous

∙ 13y ago

Updated: 4/28/2022

No.

Wiki User

∙ 13y ago

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Q: Are random sampling and stratified sampling one and same?

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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.

What is stratified random sampling in statistics?

Stratified Random Sampling: obtained by separating the population into mutually exclusive (only belong to one set) sets, or stratas, and then drawing simple random samples (a sample selected in a way that every possible sample with the same number of observation is equally likely to be chosen) from each stratum.

What is the difference between stratified random sampling and cluster sampling?

Basically in a stratified sampling procedure, the population is first partitioned into disjoint classes (the strata) which together are exhaustive. Thus each population element should be within one and only one stratum. Then a simple random sample is taken from each stratum, the sampling effort may either be a proportional allocation (each simple random sample would contain an amount of variates from a stratum which is proportional to the size of that stratum) or according to optimal allocation, where the target is to have a final sample with the minimum variabilty possible. The main difference between stratified and cluster sampling is that in stratified sampling all the strata need to be sampled. In cluster sampling one proceeds by first selecting a number of clusters at random and then sampling each cluster or conduct a census of each cluster. But usually not all clusters would be included.

Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?

Answer is Quota sampling. Its one of the method of non-probability sampling.

What will be the sampling distribution of the mean for a sample size of one?

It will be the same as the distribution of the random variable itself.

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