Asked by Thomas Pollard on May 16, 2024
Verified
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.
Verified Answer
GD
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.
Learning Objectives
- Distinguish and fathom various strategies of sampling and their implementation in practical scenarios.
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