A tool that automates the application of a statistical theorem is designed to estimate the proportion of data within a specified number of standard deviations from the mean. For instance, it can be utilized to quickly determine the minimum percentage of data points that fall within two standard deviations of the average value in a dataset.
This automated process provides significant advantages in data analysis, offering a rapid understanding of data distribution without requiring manual calculations. This theorem has historical significance in statistical analysis, providing a general guideline applicable to any distribution, regardless of its shape. Its usefulness lies in situations where detailed distributional information is not available.