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Statistics · Ch 4 — Measures of Dispersion

Quartile Deviation and Coefficient of Quartile Deviation

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Quartile Deviation and Coefficient of Quartile Deviation

Quartile Deviation (Q.D.), also called the semi-inter-quartile range, is based on the middle 50% of the data — it ignores the extreme 25% of values on each end, which makes it more stable than the Range.

Q.D.=Q3−Q12Coefficient of Q.D.=Q3−Q1Q3+Q1\text{Q.D.} = \dfrac{Q_3 - Q_1}{2} \qquad \text{Coefficient of Q.D.} = \dfrac{Q_3-Q_1}{Q_3+Q_1}

where Q1Q_1 (the lower quartile) and Q3Q_3 (the upper quartile) are computed as follows:

Individual series (n observations, arranged in ascending order): locate Q1Q_1 at the n+14\dfrac{n+1}{4}-th item and Q3Q_3 at the 3(n+1)4\dfrac{3(n+1)}{4}-th item, using linear interpolation when the position falls between two items.

Continuous series (grouped frequency distribution, total frequency NN):

Q1=L+N4−cff×hQ3=L+3N4−cff×hQ_1 = L + \dfrac{\frac{N}{4}-cf}{f}\times h \qquad Q_3 = L + \dfrac{\frac{3N}{4}-cf}{f}\times h

where LL = lower limit of the quartile class (the class in which the cumulative frequency N4\frac{N}{4} or 3N4\frac{3N}{4} falls), cfcf = cumulative frequency of the class just before the quartile class, ff = frequency of the quartile class, and hh = class width. …

Definition 1Quartile Deviation and its Coefficient

Q.D.=Q3−Q12\text{Q.D.}=\dfrac{Q_3-Q_1}{2}; $\text{Coefficient of Q.D.}=\dfrac{Q_3-Q …