Quartiles in Statistics

Quartiles in statistics, Let’s talk about quartiles and their importance. The quartiles for the corresponding distribution of x are three variate values of the variable, say x, that divide the series (frequency) into four equal halves.

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Quartiles in Statistics

There are three quartiles namely Q1, Q2, and Q3.

Q1 is called the lower quartile and Q3, the upper quartile.

25% of the numbers are lower than Q1, 25% are higher than Q3, and the remaining 50% are in the middle between Q1 and Q3.

Q2 is the same as median because it divides the series into two equal sections.

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Quartiles are commonly utilized in economics and business because of their importance. They can also be used to figure out the shape of a distribution.

How to calculate quartiles mathematically?

The formula for calculating ith quartile (i=1,2,3) for a continuous distribution having K classes is,


Q1= ith quartile which is to be calculated

L0=Lower limit of the ith quartile class

N=Total of all frequencies

C=Cumulative frequency of the class just above the quartile class

F=Frequency of the quartile class

I=Class interval

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