Lung nodules are usually about 0.2 inch (5 millimeters) to 1.2 inches (30 millimeters) in size. A larger lung nodule, such as one that's 30 millimeters or larger, is more likely to be cancerous than is a smaller lung nodule.
In statistics, mean absolute deviation is a one of the ways to describe the variability of quantitative data. Mean absolute deviation is used to measure the average amount by which all values in a data set vary from their mean.
The mean absolute deviation around the mean is a more robust estimator of statistical dispersion than the standard deviation for beta distributions with tails and inflection points at each side of the mode, Beta(Î±, Î²) distributions with Î±,Î² > 2, as it depends on the linear (absolute) deviations rather than the square deviations from the mean.