Sampling variability refers to the natural fluctuations that occur in sample statistics due to the selection of different samples from the same population. This concept highlights that different random samples will yield different results, which can lead to variation in estimates such as means or proportions. Understanding sampling variability is crucial when determining how well a sample represents a population and is foundational for concepts like standard error and sampling distributions.
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