It measures the difference between the third quartile and the first quartile of the data.
MEASURES OF DISPERSIO SERIES
The interquartile range is a measure of dispersion, as it also measures the variability of the data, IQR indicates how the data in a series is dispersed from the mean. This temperature is an important measure when the temperature was one of the deciding factors for the open-air events. HourĪs the table shows the temperature which is measured every three hours, the green highlighted row shows the minimum value for the temperature was 6 ⁰C at 3.00 hours and the red highlighted row shows the maximum value for the temperature was 27 ⁰C at 15.00 hours. Let’s understand with an example of weather report, the temperature is measured every three hours during a given day. The range is helpful when you want to focus on extreme values in the dataset. It offers a crude insight into the spread of the data, but very susceptible to outliers. The simplest measure of dispersion is Range it is the difference between the highest value and lowest value in the dataset. In this blog we will discuss about four commonly used measures of dispersion. Measures Of dispersion is also known as “Measures of Variability” because it indicates the variability of the data that how much we still do not know about the data. Measures of dispersion indicate how the data is spread or scattered from the measures of central tendency.
One essential measure is how the data is scattered or dispersed. To understand the data well, only studying measures of central tendency is not enough.
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