“What occurs to sampling error as sample size grows?”

"Sampling error the discrepancy between a sample’s results and the true population value decreases as sample size increases. Larger samples better represent the population reducing variability and enhancing statistical accuracy. This principle is vital in social research where precise data informs welfare policies and interventions. By minimizing sampling error researchers ensure reliable findings critical for evidence-based decision-making in social welfare. This concept supports effective program evaluation and resource allocation improving outcomes in areas like poverty alleviation and public health initiatives."