Suitable for Further Treatment: A good measure of dispersion should be suitable to be used for the further statistical treatment. Range Range can be defined as the difference that exists between the maximum and the minimum value of a data set. see central tendency, measures of measures of dispersion, see dispersion. Absolute measure of Dispersion: It includes the range, quartile deviation, mean deviation, and the standard deviation. Unaffected by Extreme Values: A good measure of dispersion should be least affected by the extreme values of the data.ħ. 4853, 60, 241 Likert, R., 182 Likert scales, 52, 1823, 241 linearity. Least Affected by the Sampling Fluctuations: Any good measure of dispersion should be least affected by the fluctuations persisting in the sample values.Ħ. We measure spread using range, interquartile range, variance, and standard deviation. Best answer The absolute measures of dispersion are : Range Quartile deviation. We often measure the center using the mean and median. Mode Measures of Dispersion or Variation Range, Variance, Standard Deviation Measures of Position Percentile, QuartilesWrite a two to three (2-3). When we analyze a dataset, we often care about two things: 1. Relative measures of dispersion are always dimensionless, and they are particularly useful for making comparisons between separate data sets or different. Easy to Understand: It is an another important property of a good measure of dispersion to be easily deducible by the reader.ĥ. Measures of Dispersion: Definition & Examples. Based on all Observations: A good measure of dispersion should be based on all the observations of the data.Ĥ. moment about the mean, is a measure of the variability (spread or dispersion) of data.

Easy to Calculate: Another important property of a good measure of dispersion is that it should be easy to calculate.ģ. mean(1, 2, 3, 4, 4) 2.8 > mean(-1.0, 2.5, 3.25, 5.75) 2.625. Variance: Deduct the mean from each data in the set, square each of them and add each square and finally divide them by. Rigidly Defined: A good measure of dispersion should be properly and rigidly defined so that it does not create any problem for the reader in analysing the data.Ģ. The types of absolute measures of dispersion are: Range: It is simply the difference between the maximum value and the minimum value given in a data set. The following are the properties that a good measure of dispersion should possess:ġ. Properties of a Good Measure of Dispersion:

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