Asked by Thomas Pollard on May 16, 2024

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Sampling error depends on the size of the sample relative to the population and is inherent in any sampling process.

Sampling Error

The discrepancy between a sample statistic and the true population parameter, which arises purely by chance.

Sample Size

Pertains to the count of items or participants chosen from a larger group for statistical examination.

Population

The total set of observations or elements from which samples can be drawn for statistical analysis.

  • Distinguish and fathom various strategies of sampling and their implementation in practical scenarios.
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gwendolyn dukesMay 20, 2024
Final Answer :
True
Explanation :
Sampling error is a statistical error that occurs when the sample selected for analysis does not perfectly represent the population of interest. The size of the sample relative to the population can influence the magnitude of sampling error, but it is always present in any sampling process. Therefore, the statement is true.