Sampling variability is often quantified using statistical measures such as the standard error and confidence intervals. The standard error indicates the average distance that the sample statistic (e.g., mean, proportion) is likely to fall from the true population parameter. Confidence intervals provide a range within which the true population parameter is expected to lie, with a given level of certainty (e.g., 95%).
