In
descriptive statisticsDescriptive statistics quantitatively describe the main features of a collection of data. Descriptive statistics are distinguished from inferential statistics , in that descriptive statistics aim to summarize a data set, rather than use the data to learn about the population that the data are...
, the
interquartile range (
IQR), also called the
midspread or
middle fifty, is a measure of
statistical dispersionIn statistics, statistical dispersion is variability or spread in a variable or a probability distribution...
, being equal to the difference between the upper and lower
quartileIn descriptive statistics, the quartiles of a set of values are the three points that divide the data set into four equal groups, each representing a fourth of the population being sampled...
s. IQR = Q
_{3} − Q
_{1}
Use
Unlike (total)
rangeIn the descriptive statistics, the range is the length of the smallest interval which contains all the data. It is calculated by subtracting the smallest observation from the greatest and provides an indication of statistical dispersion.It is measured in the same units as the data...
, the interquartile range is a robust statistic, having a breakdown point of 25%, and is thus often preferred to the total range.
The IQR is used to build
box plotIn descriptive statistics, a box plot or boxplot is a convenient way of graphically depicting groups of numerical data through their fivenumber summaries: the smallest observation , lower quartile , median , upper quartile , and largest observation...
s, simple graphical representations of a
probability distributionIn probability theory, a probability mass, probability density, or probability distribution is a function that describes the probability of a random variable taking certain values....
.
For a symmetric distribution (so the median equals the
midhingeIn statistics, the midhinge is the average of the first and third quartiles and is thus a measure of location.Equivalently, it is the 25% trimmed midrange; it is an Lestimator....
, the average of the first and third quartiles), half the IQR equals the
median absolute deviationIn statistics, the median absolute deviation is a robust measure of the variability of a univariate sample of quantitative data. It can also refer to the population parameter that is estimated by the MAD calculated from a sample....
(MAD).
The
medianIn probability theory and statistics, a median is described as the numerical value separating the higher half of a sample, a population, or a probability distribution, from the lower half. The median of a finite list of numbers can be found by arranging all the observations from lowest value to...
is the corresponding measure of
central tendencyIn statistics, the term central tendency relates to the way in which quantitative data is clustered around some value. A measure of central tendency is a way of specifying  central value...
.
Examples
Data set in a table
i 
x[i] 
Quartile 
1 
102 
2 
104 
3 
105 
Q_{1} 
4 
107 
5 
108 
6 
109 
Q_{2} (median) 
7 
110 
8 
112 
9 
115 
Q_{3} 
10 
116 
11 
118 
For the data in this table the interquartile range is IQR = 115 − 105 = 10.
Data set in a plaintext box plot
+++
o *   
+++
+++++++++++++ number line
0 1 2 3 4 5 6 7 8 9 10 11 12
For the data set in this
box plotIn descriptive statistics, a box plot or boxplot is a convenient way of graphically depicting groups of numerical data through their fivenumber summaries: the smallest observation , lower quartile , median , upper quartile , and largest observation...
:
 lower (first) quartile (
where CDF^{−1} is the quantile functionIn probability and statistics, the quantile function of the probability distribution of a random variable specifies, for a given probability, the value which the random variable will be at, or below, with that probability...
.
The interquartile range and median of some common distributions are shown below
Distribution 
Median 
IQR 
Normal 
μ 
2 Φ^{−1}(0.75) ≈ 1.349 
Laplace 
μ 
2b ln(2) 
CauchyThe Cauchy–Lorentz distribution, named after Augustin Cauchy and Hendrik Lorentz, is a continuous probability distribution. As a probability distribution, it is known as the Cauchy distribution, while among physicists, it is known as the Lorentz distribution, Lorentz function, or Breit–Wigner...

μ 

Interquartile range test for normality of distribution
The IQR, meanIn statistics, mean has two related meanings:* the arithmetic mean .* the expected value of a random variable, which is also called the population mean....
, and standard deviationStandard deviation is a widely used measure of variability or diversity used in statistics and probability theory. It shows how much variation or "dispersion" there is from the average...
of a population P can be used in a simply test of whether or not P is normally distributed, or Gaussian. If P is normally distributed, then the standard scoreIn statistics, a standard score indicates how many standard deviations an observation or datum is above or below the mean. It is a dimensionless quantity derived by subtracting the population mean from an individual raw score and then dividing the difference by the population standard deviation...
of the first quartile, z_{1}, is 0.67, and the standard score of the third quartile, z_{3}, is +0.67. Given mean = X and standard deviation = σ for P, if P is normally distributed, the first quartile
and the third quartile
If the actual values of the first or third quartiles differ substantially from the calculated values, P is not normally distributed.
See also
 Midhinge
In statistics, the midhinge is the average of the first and third quartiles and is thus a measure of location.Equivalently, it is the 25% trimmed midrange; it is an Lestimator....
 Interdecile range
In statistics, the interdecile range is the difference between the first and the ninth deciles . The interdecile range is a measure of statistical dispersion of the values in a set of data, similar to the range and the interquartile range....
 Robust measures of scale
In statistics, a robust measure of scale is a robust statistic that quantifies the statistical dispersion in a set of quantitative data. Robust measures of scale are used to complement or replace conventional estimates of scale such as the sample variance or sample standard deviation...
 Outlier
In statistics, an outlier is an observation that is numerically distant from the rest of the data. Grubbs defined an outlier as: An outlying observation, or outlier, is one that appears to deviate markedly from other members of the sample in which it occurs....