Sample variability refers to the natural variation that occurs between different samples drawn from the same population, impacting the reliability and accuracy of statistical estimates. Understanding sample variability is crucial for designing experiments and interpreting results, as it helps in assessing the precision of sample statistics and the potential for sampling error.