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 (MAD) of a set of data is the average distance between each data value and the mean. The mean absolute deviation is the average of the positive distances of each point from the mean. The larger the MAD, the greater variability there is in the data (the data is more spread out). The MAD helps determine whether the set's mean is a useful indicator of the values within the set. The larger the MAD, the less relevant is the mean as an indicator of the values within the set. Let's compare Sherlock's data set with that belonging to Watson. to see what the Mean Absolute Deviation (MAD) tells us.