The quartile deviation(QD) is half the difference between the highest and lower quartile in a distribution.
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Quartiles are values that divide a dataset into four equal parts, each containing 25% of the data. There are three quartiles: Q1, Q2 (also known as the median), and Q3. Q1 represents the 25th percentile, Q2 the 50th percentile, and Q3 the 75th percentile of the data. Quartiles are useful for understanding the spread and distribution of a dataset.
The interquartile range (IQR) is a measure of variability, based on dividing a data set into quartiles. Quartiles divide a rank-ordered data set into four equal parts.
A box and whisker plot has four quartiles in which its data is spread across.
In statistics, a quartile is each of four equal groups into which a population can be divided according to the distribution of values of a particular variable.
It is marked by the minimum, and maximum, the median, as well as the lower and upper quartiles. It also shows the skewness of the data.
See related link. Upper and lower quartiles are the 75 and 25% percentile measures.