The measure of dispersion is changed by a change of
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Explanation:
Measures of dispersion or variation. As a result, a change in the value of any item will have its effect on the magnitude of mean deviation. The values of extreme items have less effect on the value of the mean deviation. As deviations are taken from a central value, it is possible to have meaningful comparisons of the formation of different distributions.
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The measure of dispersion is changed by the change of scale.
Explanation:
- In statistics, dispersion can be used in two senses:
- The scatteredness of the values of a variable due to variation among themselves is dispersion.
- The scatteredness of the deviations from a measure of central tendency or any other fixed value.
- Dr. Bowley defined dispersion as, "Dispersion is the measure of variation of the items."
- There are two types of measures of dispersion. They are absolute measure and relative measure.
- For a measure of dispersion to be good, it should be rigidly defined, based on all the observations, simple and easy to calculate, and amicable for algebraic treatment.
- It should also be least affected by fluctuations of sampling and not be unduly affected by extreme items.
- The measure of dispersion can be changed by the scale.
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