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If a sample of size s is to be taken from a population of size n, then every n/s member of the population is tested. The starting point is chosen at random.

If we want to test a 100-strong sample from a population of 2000, we test every 2000/100 = every 20th member. We use random numbers to determine the starting point.

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13y ago
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7mo ago

To conduct stratified sampling, first divide the population into homogeneous subgroups based on a specific characteristic. Then, randomly select samples from each subgroup proportionate to their size in the population. This method helps ensure that each subgroup is represented accurately in the sample, leading to more reliable and precise results.

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Q: How do you work out stratified sampling?
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Why is the tissue that makes up the epidermis of the skin called stratified epithelium?

The epidermis is called stratified epithelium because it is made up of multiple layers of epithelial cells stacked on top of each other. This stratified arrangement provides structural support and protection for the skin.


What is sampling which is related to information system?

Sampling in information systems refers to the process of selecting a subset of data or transactions from a larger dataset for analysis or testing. It allows organizations to efficiently analyze information without having to process entire datasets, which can be time-consuming and resource-intensive. Sampling helps in making inferences about the larger dataset based on the characteristics of the sampled data.


Why do we need sampling in research?

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The difference between active and passive monitoring sampling?

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The type of tissue that makes up the surface of the skin?

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Related questions

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