A relative measure of dispersion based on the quartile deviation is called the coefficient of quartile deviation… It is defined as Coefficient of Quartile Deviation = 31 31 3131 QQ 2 QQ QQQQ 2 = + + It is pure number free of any units of measurement. The value is reported as a percentage of the median. If Q3=20 and Q1=10, the coefficient of quartile deviation is: (a) 3 (b) 1/3 (c) 2/3 (d) 1 MCQ No 4.21 Which measure of dispersion can be computed in case of open-end classes? The quartile deviation calculated from the sample data does not help us to draw any conclusion (inference) about the quartile deviation in the population. Absolute Measure: Those measures of dispersion whose units are same as the units of the given series is known as the absolute measure of dispersion.These types of dispersions can be used only in the comparing the variability of the series or distribution having the same units. It can be used for comparing the dispersion in two or more than two sets of data. Coefficient of Quartile Deviation. When the coefficient of quartile deviation is small, it indicates high uniformity or fundamental rule about relative measures of dispersion here. Types of Measures of dispersion,Range, Quartile Deviation, Mean Deviation. There are four coefficients which are commonly referred, namely. Co-efficient of Quartile Deviation; Co-efficient of Mean Deviation; Co-efficient of Dispersion. 6, pp. The coefficient of dispersion (COD) is the average difference a group of numbers has from the median. It is defined as: It is a pure number free of any units of measurement. A relative measure of dispersion based on the quartile deviation is called the coefficient of quartile deviation. Applications: 48, pp. They are less useful for understanding your own dataset. Gastwirth (1982), "Statistical properties as a measure of tax assessment uniformity", Journal of Statistical Planning Inference, Vol. Types of Measures of Dispersion. Since it is based on quantile information, it is less sensitive to outliers than measures such as the Coefficient of variation.As such, it is one of several Robust measures of scale. (a) Standard deviation (b) Range (c) Quartile deviation (d) Coefficient of variation MCQ No 4.22 In my mind, they have a very specific use–for comparing the variability across datasets when measurements use different units. Reference: Bonett and Seier (2005), "Confidence interval for a coefficient of dispersion in nonnormal distributions", Biometrical Journal, Vol. I have not used the coefficient of dispersion or quartile coefficient of dispersion much. If one data set has a larger coefficient of quartile deviation than another data set, then that data set’s interquartile dispersion is greater. In statistics, the quartile coefficient of dispersion is a descriptive statistic which measures dispersion and which is used to make comparisons within and between data sets. 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