Sampling variability refers to the natural differences that occur when different samples are taken from the same population. This concept highlights how the estimates derived from these samples can vary due to random chance, which ultimately impacts the accuracy and reliability of statistical inferences. Understanding sampling variability is crucial for evaluating the effectiveness of sampling methods and addressing potential biases that can arise in various sampling designs.
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