👉 Variance computing is a statistical method used to measure the dispersion or spread of data points within a dataset. Unlike standard deviation, which is sensitive to extreme values (outliers), variance computes the average of the squared differences from the mean, providing a measure of how much individual data points deviate from the average value. This method is particularly useful in scenarios where a more robust measure of spread is needed, especially when dealing with datasets that contain outliers. However, variance itself is less intuitive than standard deviation because it's in squared units of the original data, making it harder to interpret directly. To address this, the square root of variance is often used, resulting in the standard deviation, which retains the same units as the data and is more commonly used in practical applications.
