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Range, Quartiles, and Interquartile Range
M.Swarna Sudha
Assistant Professor(Senior Grade)
Department of CSE
Ramco Institute of Technology
CS8075 DATA WAREHOUSING AND DATA MINING
Range, Quartiles, and Interquartile
Range
• Let x1,x2,...,xN be a set of observations for
some numeric attribute, X.
• The range of the set is the difference between
the largest (max()) and smallest (min()) values
• Suppose that the data for attribute X are
sorted in increasing numeric order. Imagine
that we can pick certain data points so as to
split the data distribution into equal-size
consecutive sets, as in Figure
Examples
• 75, 69, 56, 46, 47, 79, 92, 97, 89, 88, 36, 96, 105, 32, 116,
101, 79, 93, 91, 112
• After sorting the above data set:
32, 36, 46, 47, 56, 69, 75, 79, 79, 88, 89, 91, 92, 93, 96, 97,
101, 105, 112, 116
• Here the total number of terms is 20.
• The second quartile (Q2) or the median of the above data is
(88 + 89) / 2 = 88.5
• The first quartile (Q1) is median of first n i.e. 10 terms (or n
i.e. 10 smallest values) = 62.5
• The third quartile (Q3) is the median of n i.e. 10 largest
values (or last n i.e. 10 values) = 96.5
• Then, IQR = Q3 – Q1 = 96.5 – 62.5 = 34.0
• The IQR is used to build box plots, simple graphical
representations of a probability distribution.
• The IQR can also be used to identify the outliers in the
given data set.
• The IQR gives the central tendency of the data.
Decision Making
• The data set has a higher value of interquartile range
(IQR) has more variability.
• The data set having a lower value of interquartile
range (IQR) is preferable.
• Suppose if we have two data sets and their
interquartile ranges are IR1 and IR2, and if IR1 > IR2
then the data in IR1 is said to have more variability
than the data in IR2 and data in IR2 is preferable.
USE of IQR
Range, quartiles, and interquartile range
Range, quartiles, and interquartile range
Range, quartiles, and interquartile range

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Range, quartiles, and interquartile range

  • 1. Range, Quartiles, and Interquartile Range M.Swarna Sudha Assistant Professor(Senior Grade) Department of CSE Ramco Institute of Technology CS8075 DATA WAREHOUSING AND DATA MINING
  • 2. Range, Quartiles, and Interquartile Range • Let x1,x2,...,xN be a set of observations for some numeric attribute, X. • The range of the set is the difference between the largest (max()) and smallest (min()) values
  • 3.
  • 4.
  • 5. • Suppose that the data for attribute X are sorted in increasing numeric order. Imagine that we can pick certain data points so as to split the data distribution into equal-size consecutive sets, as in Figure
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. Examples • 75, 69, 56, 46, 47, 79, 92, 97, 89, 88, 36, 96, 105, 32, 116, 101, 79, 93, 91, 112 • After sorting the above data set: 32, 36, 46, 47, 56, 69, 75, 79, 79, 88, 89, 91, 92, 93, 96, 97, 101, 105, 112, 116 • Here the total number of terms is 20. • The second quartile (Q2) or the median of the above data is (88 + 89) / 2 = 88.5 • The first quartile (Q1) is median of first n i.e. 10 terms (or n i.e. 10 smallest values) = 62.5 • The third quartile (Q3) is the median of n i.e. 10 largest values (or last n i.e. 10 values) = 96.5 • Then, IQR = Q3 – Q1 = 96.5 – 62.5 = 34.0
  • 17.
  • 18. • The IQR is used to build box plots, simple graphical representations of a probability distribution. • The IQR can also be used to identify the outliers in the given data set. • The IQR gives the central tendency of the data. Decision Making • The data set has a higher value of interquartile range (IQR) has more variability. • The data set having a lower value of interquartile range (IQR) is preferable. • Suppose if we have two data sets and their interquartile ranges are IR1 and IR2, and if IR1 > IR2 then the data in IR1 is said to have more variability than the data in IR2 and data in IR2 is preferable. USE of IQR