Quartiles and interquartile range

Quartiles and interquartile range are among the measures of position. Just like the name indicates, quartiles divide a ranked data (ordered set of data ) into four equal parts. Only three measures are needed to divide any data set into four equal parts.

These three measures that will divide an ordered data set into four equal parts are the first quartile (denoted by Q1), the second quartile (denoted by Q2), and the third quartile (denoted by Q3).

After a data set has been ordered, or written in increasing order, here is how we define the quartiles.

The second quartile or Q2  is the same as the median of the data set after the set has been ordered.

The first quartile or Q1 is the median between the smallest number and the second quartile.

The third quartile or Q3 is the median between the second quartile and the biggest number.

Now, take a look at the following figure and then make the following important observations.

Quartiles
  • About 25% of the values in the ranked data set are less than Q
  • You can also say that about 75% of the values in the ranked data set are greater than Q1
  • About 75% of the values in the ranked data set are less than Q3
  • You could also say that about 25% of the values in the ranked data set are greater than Q3
  • About 50% of the values in the ranked data set are smaller than  Q2 and about 50% are greater than  Q2

Interquartile range

The interquartile range is the difference between third quartile and the first quartile.

IQR = Interquartile range = Q3 - Q1

Recent Articles

  1. Addition Rule for Probability

    Jun 18, 21 04:59 AM

    Learn how to use the addition rule for probability in order to find the probability of the union of two events

    Read More