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Whenever it is impractical to measure the characteristics of interest of each member of the population. For example, the populations of most countries are too large for any of the characteristics of all of the people within them to be measured. For that reason, sampling techniques are applied so that representative samples can be obtained of country populations.

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Q: Where and when to use sampling technique?
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Related questions

What is common sampling technique in communication system?

Random Sampling is the most common sampling technique


Which sampling technique is appropriate for voting behaviour of people?

stratified sampling technique


Kinds of non random sampling technique?

Quota sampling.


How do you get sample using universal sampling technique?

try researching about total enumeration technique... it's the other name for universal sampling technique ^_^ Good luck..


Why you use sloven's formula?

it's a random sampling technique formula to estimate sampling sizen=N/1+N(e)2n- sampling sizeN-total populatione-level of confidence


Is questionnaire probability sampling technique?

A questionnaire has little to do with sampling technique. Sampling technique is to do with who gets the questionnaire and that can be any sampling technique: the questionnaire can be sent to everyone (census), to a random sample, stratified random samples, to random samples in clusters, by quota or convenience. Or a pile of questionnaires can be left for respondents to pick up - self-selection.


What sampling technique will be the best for the large population size?

Clustered sampling.Clustered sampling.Clustered sampling.Clustered sampling.


Which sampling technique can assure that the profile of the sample matches the profile of the population?

Stratified sampling


What are the disadvantages of systematic sampling?

Disadvantages of systematic sampling: © The process of selection can interact with a hidden periodic trait within the population. If the sampling technique coincides with the periodicity of the trait, the sampling technique will no longer be random and representativeness of the sample is compromised.


What is a less accurate technique then random sampling?

So-called accidental sampling. Please see the link.


Which sampling technique is used to focus on high-value items?

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Which sampling technique is used focus on high-value items?

stratified