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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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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?

Sampling is essential in research to obtain representative data within a manageable time and cost. By selecting a subset of the population, researchers can draw conclusions about the larger group. It helps ensure that the findings are generalizable and applicable beyond the sample studied.


The difference between active and passive monitoring sampling?

Active Sampling refers to the process of connecting sample collection media (i.e., thermal desorption tube) to a sampling train consisting of inert tubing and a sample pump operating at a know flow rate. Once activated, the sample pump draws air through the sample media, resulting in a know sample volume. Passive Sampling refers to the process of allowing sample collection media (i.e., thermal desorption tube) to passively diffuse air through the sample media without benefit of 'forced air'. This allows for longer potential sample periods without concern for overloading the sampling media. •


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

The type of tissue that makes up the surface of the skin is called stratified squamous epithelium. This tissue is composed of multiple layers of flat cells that provide protection against external stressors and help to prevent dehydration or infection. It is a key component of the epidermis, the outermost layer of the skin.

Related Questions

Are random sampling and stratified sampling one and same?

No.


Sampling in operations research and management?

semi stratified sampling


What is simple random sampling and stratified random sampling?

yes


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


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