In statistics, quartiles are a way to divide data into four equal parts. They can be used in a number of different ways, but most commonly they’re used to split out the top 25% (the first quartile) from the bottom 25% (the third quartile). When you see the median of a dataset mentioned, this refers to the second quartile, which splits out the middle 50% of the data from either end of it.

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What is a Quartile in Statistics ?

In statistics, a quartile is a measure of location which splits a distribution into four equal parts. The first quartile is also known as fiftieth percentile, and it can be thought of as describing a person with 50% of all possible cases below him or her. If a set contains an odd number of observations, then there are three quartiles: Q1, Q2 and Q3.