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Q: What is the difference between population and sample in statistics?

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A representative sample is one where the statistics of the sample are the same as the statistics for the parent population.

What is the difference between the population and sample regression functions? Is this a distinction without difference?

A population survey, better known as a census, entails the collection of each unit in the population. In sample survey information is collected from a subset of the population. The subset, or sample, needs to be selected carefully so that it is representative of the whole population and, if that requirement is met, statistics based on the sample are good estimators for the corresponding population parameters.

The score of each individual or a single data is called STATISTIC. As a result, STATISTICS is the act of creating, comparing, interpreting, and analyzing data. Because the population is nearly impossible to reach, statistics is concerned with the sample rather than the population.

A sample of a population is a subset of the population. The average of the population is a statistical measure for some variable of the population.

in statistics a sample is a subset of population..

A sample is any subset of the total population. A representative sample is one that is chosen so that its characteristics are similar to that of the population.

Usually, we make a distinction between a population and a sample. The population is the entire set of values or attributes of interest while the sample is a subset of the population.

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Statistics: Survey of an entire population, as opposed to a sample survey.

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The population mean is the mean value of the entire population. Contrast this with sample mean, which is the mean value of a sample of the population.

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