Encabezado
 Statistic        Statistics         Introduction Central Tendency Measures Mean Geometric Mean Media Armónica Mediana Moda Measures of Location Centiles Deciles Cuartiles Ejercicio Measures of Position Introducción Desviación media Varianza Desviación típica Coeficiente de variación Ejercicio Medidas de Forma Asimetría Apuntamiento Test      Mean Deviation and its Coefficient

The mean deviation (also called average deviation), of a set of N numbers X1,X2,...,XN is abreviated by MD and is defined by where is the arithmetic mean of the numbers and is the absolute value of the deviation of Xj from Find the mean deviation of the set 2, 3, 4, 5, 6.   Properties:

• The mean deviation is based on all the observations.
• Shows the dispersion of values around the measure of central tendency.
• It is easy to compute.
• Average deviation from mean is always zero in any data set. The MD avoids this problem by using absolute values to elimitate negative signs.
• The mean deviation is a better measure of absolute dispersion than the range and the quartile deviation.
Occasionally the mean deviation is defined in terms of absolute deviations from the median or other average instead of from the mean:
• When the mean deviation is calculated about the median, the formula becomes: • When the mean deviation is calculated about the mode, the formula becomes: 