# What are the uses of measures of dispersion?

**measure**of spread, sometimes also called a

**measure of dispersion**, is

**used**to describe the variability in a sample or population. It is usually

**used**in conjunction with a

**measure**of central tendency, such as the mean or median, to provide an overall description of a set of data.

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Hereof, why do we use measures of dispersion?

While **measures** of central tendency are **used** to estimate "normal" values of a dataset, **measures of dispersion** are important for describing the spread of the data, or its variation around a central value. Two distinct samples may have the same mean or median, but completely different levels of variability, or vice versa.

Furthermore, what is the meaning of measures of dispersion? Classification of **Measures of Dispersion** The **measures** which express the scattering of observation in terms of distances i.e., range, quartile deviation. The **measure** which expresses the variations in terms of the average of deviations of observations like **mean** deviation and standard deviation.

Keeping this in consideration, what are the common measures of dispersion?

Common examples of measures of statistical dispersion are the variance, **standard deviation**, and interquartile range. Dispersion is contrasted with location or central tendency, and together they are the most used properties of distributions.

What is the best measure of dispersion?

Standard deviation