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A Benefit Associated with Detecting Sampling Error Is That It

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A benefit associated with detecting sampling error is that it can be determined before a sample is drawn and data collection is completed.


Definitions:

Interval Estimation

A scope of values, from collected sample data, that is likely to embody the value of an unexplored population parameter.

Confidence Interval

A range of values, derived from the sample statistics, within which there is a specified level of confidence where the true parameter lies.

Standard Error

The standard deviation of the sampling distribution of a statistic, typically mean, estimating the variability.

Confidence Interval

A lineup of values, acquired through sample analysis, supposed to include the unascertained value of a population parameter.

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