Large Sample Properties

Large sample properties refer to characteristics of statistical methods that become more accurate as the amount of data increases. When using a large dataset, estimations, such as averages or probabilities, tend to be closer to the true values. Properties like consistency (estimators approach the true value as sample size grows), normality (distributions approximate a bell curve), and efficiency (making the best use of data) improve with more data. These principles help statisticians trust that their methods will produce reliable results when analyzing large datasets.