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It is not a sample. A sample must be a proper subset of the whole population.

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Q: What is a sample that that consists of everyone in the population?
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Related questions

Explain the differences between a sample and a population?

A sample consists of a small portion of data when a population is taken from a large amount.


What is difference of population sample?

The population consists of every possible unit where a sample is a subset of the population. Note that population and sample need not refer to persons. For example, if studying biodiversity, the population could consist of plots of land.


What is a randomly selected portion of the population called?

Sample. A random sample ensures that everyone or thing has a proportionally equal chance of being picked. The idea is that the sample should be representative of the whole population.


What is subset of a population called?

A Sample


This process gives everyone in the population an equal chance of becoming a member of the sample?

Random Selection Process


What is the defining characteristic of a representative sample?

It will represent the population as a whole. This is a great idea if you the population is too large and you want to get a general idea of how everyone will think.


What sentence is a true statement Is a sample a subset of the population or Is a population a subset of the sample?

A sample is a subset of the population.


What will happen if the sample you have drawn from the population does not represent the population?

You are studying the sample because you want to find out information about the whole population. If the sample you have drawn from the population does not represent the population, you will find out about the sample but will not find out about the population.


How is a sample related to a population?

A sample is a subset of the population.


How is a sample different from a population?

The sample is a subset of the population.


Is the data is sample or population?

Data is neither sample nor population. Data are collected for attributes. These can be for a sample or a population.


What is the difference between a simple random sample and a stratified random sample?

Sometimes a population consists of a number of subsets (strata) such that members within any particular strata are alike while difference between strata are more than simply random variations. In such a case, the population can be split up into strata. Then a stratified random sample consists of simple random samples, with the same sampling proportion, taken within each stratum.