Andrew F. Siegel, in Practical Business Statistics, 2012 Variability may be defined as the extent to which the data values differ from each other. In statistics, dispersion (also called variability, scatter, or spread) is the extent to which a distribution is stretched or squeezed. Measures of Dispersion differs with location or central tendency, and together they are one of the most used properties of distributions. In statistics, dispersion is the degree to which a distribution is stretched or squeezed. If the value of the dispersion is small, it indicates the high uniformity of the observations. The absence of dispersion in the data indicates the perfect uniformity. If the difference between the value and average is high, then dispersion will be high. Dispersion is a statistical measure that indicates how the observations are spread out or scattered on each side of the center. Excel includes a function for it as well. Most common measures of statistical dispersion are: 1. Statistical dispersion means the extent to which a numerical data is likely to vary about an average value. =AVEDEV … Dispersion is the state of getting dispersed or spread. Other terms that have a similar meaning include diversity, uncertainty, dispersion, and spread. To avoid the problems associated with squaring the quantities with dimensions, we may want to check dispersion using the average of absolute values of the deviations. In other words, dispersion helps to understand the distribution of the data. Otherwise it will be low. In a statistical sense, dispersion has two meanings: first it measures the variation of the items among themselves, and second, it measures the variation around the average. Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range. In statistics, dispersion (also called variability, scatter, or spread) is the extent to which a distribution is stretched or squeezed. Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range. It can be computed with =AVEDEV ().
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