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Quartile Deviation : It is based on the lower quartile and the upper quartile. The difference is called the inter quartile range. The difference divided by is called semi-inter-quartile range or the quartile deviation.Thus. The quartile deviation is a slightly better measure of absolute dispersion than the range.But it ignores the observation on the tails. If we take difference samples from a population and calculate their quartile deviations, their values are quite likely to be sufficiently different.t is based on the lower quartile and the upper quartile. The difference is called the inter quartile range. The difference divided by is called semi-inter-quartile range or the quartile deviation. Thus. The quartile deviation is a slightly better measure of absolute dispersion than the range.
In statistics, a quartile, a type of quantile, is three points that divide sorted data set into four equal groups (by count of numbers), each representing a fourth of the distributed sampled population. There are three quartiles: the first quartile (Q1), the second quartile (Q2), and the third quartile (Q3). The first quartile (lower quartile, QL), is equal to the 25th percentile of the data. (splits off the lowest 25% of data from the highest 75%) The second (middle) quartile or median of a data set is equal to the 50th percentile of the data (cuts data in half) The third quartile, called upper quartile (QU), is equal to the 75th percentile of the data.