data mining

Jul 5th, 2016
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CMP 627 Data MiningStatistical measures for dispersionCMP 627 Data MiningHomework Assignment 2Statistical measures for dispersion1CMP 627 Data MiningStatistical measures for dispersionIn many statistical works, there is a tendency of the data obtained to be scattered overa particular range. The scattering of data is what is referred to as dispersion. Dispersion,therefore, describes the size of the range of values that is expected from a particular variable.The distribution of values is import as we seek to explain the variations in observation.Furthermore, researchers are interested in knowing why some cases lie above or below averagein a given variable. Most of the statistical explanations are geared towards explaining thedifferences in observations. As such, the most commonly used statistical measures fordispersion are standard deviation, variance, and range (Hajeer, 2012).The range is the disparity in the largest values in a data set to the smallest value in thesame data set. It, therefore, presents one of the simplest measures of calculating the variabilityof data. To get the range in a data set, one has to arrange the date in an ascending or d

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