Intro to Statistics
Sampling error refers to the difference between a sample statistic and the corresponding population parameter that arises purely due to the fact that only a subset of the population is being observed. This concept highlights that while samples can provide insights about a population, they may not perfectly reflect its characteristics, leading to variations in results. Understanding sampling error is crucial because it emphasizes the importance of sample size and sampling methods in research, as they directly influence the reliability of the conclusions drawn from data.
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