What is the term for the calculation involving the average, mode, and standard deviation that indicates skewness?

The term that involves the average, mode, and standard deviation to indicate skewness is indeed referred to as the skewness calculation. Skewness is a statistical measure that describes the asymmetry of the distribution of values in a dataset.

When calculating skewness, metrics like the mean (average), mode, and standard deviation play a crucial role in determining whether data is symmetrically distributed or if it leans towards one side. A skewness calculation can help identify if a distribution is positively skewed (tail on the right) or negatively skewed (tail on the left).

While other options, like normality tests or variance analysis, are related to assessing characteristics of data, they do not specifically focus on the skewness of a distribution. Standardization pertains to the process of transforming data to have a mean of zero and a standard deviation of one, but it does not directly measure skewness. Thus, the skewness calculation is the most suitable term for what the question describes.