Asked by HyTech Clutch on Apr 24, 2024
Verified
Which of the following is a measure of how well a sample approximates the characteristics of a population?
A) sampling accuracy
B) sampling error
C) sampling generalizability
D) sampling consistency
Sampling Error
The discrepancy between a sample statistic and its corresponding population parameter, arising purely by chance because the sample is not a perfect representation of the population.
- Comprehend the notion of sampling error and its consequences for the precision of research findings.
- Acquire knowledge about the linkage between sample representation and the ability to generalize findings to the wider population.
Verified Answer
JG
Jazmin Gerena4 days ago
Final Answer :
B
Explanation :
Sampling error is a measure of how well a sample approximates the characteristics of a population. It quantifies the difference between the sample statistic and the actual population parameter, indicating the accuracy of inferences made about the population based on the sample.
Learning Objectives
- Comprehend the notion of sampling error and its consequences for the precision of research findings.
- Acquire knowledge about the linkage between sample representation and the ability to generalize findings to the wider population.
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