How To Find Interquartile Range

• James picks up the given set of random two-digit numbers.

43, 36, 49, 22, 29, 55, 63, 12, 17, 30, 51, 77, 96

Can you help James to find the interquartile range for the above set of numbers?

Example 1

 

 

George finds the first quartile and the third quartile values of the data to be 43 and 71 respectively. How can you further help George to find the interquartile range for this data?

Solution

The known values are:

\(Q_1 = 43 \) and \(Q_3 = 71 \)

Interquartile range = \(Q_3 - Q_1 = 71 - 43 = 28 \)

\(\therefore \) The interquartile range is 28

Example 2

 

 

Peter wants to know the interquartile range of the set of the first 100 whole numbers. How can you help Peter?

Solution

Listing the first 100 natural numbers, we have 1, 2, 3, ..........98, 99, 100

Taking the first half of the data, 1, 2, 3,.......48, 49, 50 we can find the first quartile value.

First Quartile = \(Q_1 = \dfrac{25 + 26}{2} = \dfrac{51}{2} = 25.5 \) 

Now taking the second half of the data, 51, 52,53, ....... 98, 99,100 we can find the third quartile value.

Third Quartile = \(Q_3 = \dfrac{75 + 76}{2} = \dfrac{151}{2} = 75.5 \)

Interquartile range = \(Q_3 - Q_1 = 75.5 - 25.5 = 50 \) 

\(\therefore \) The interquartile range is 50

Example 3

 

 

What is the interquartile range of the data which includes the first 20 multiples of the number 12?

Solution

The multiples of 12 are 12, 24, 36, 48, 60, 72, 84, 96, 108, 120, 132, 144, 156, 168, 180, 192, 204, 216, 228, 240 <<add and before 240: ...216, 228, and 240>>

The first half of the data is 12, 24, 36, 48, 60, 72, 84, 96, 108, and 120 

First Quartile = \(Q_1 = \dfrac{60 + 72}{2} = \dfrac{132}{2} = 66 \) 

And the second half of the data is 132, 144, 156, 168, 180, 192, 204, 216, 228, and 240 

Third Quartile = \(Q_3 = \dfrac{180 + 192}{2} = \dfrac{372}{2} = 186 \)

Interquartile range = \(Q_3 - Q_1 = 186 - 66 = 120 \)

\(\therefore \) The interquartile range is 120

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Here are a few activities for you to practice. Select/Type your answer and click the "Check Answer" button to see the result.

 

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Let's Summarize

The mini-lesson targeted the fascinating concept of the interquartile range. The math journey around the interquartile range starts with what a student already knows, and goes on to creatively crafting a fresh concept in the young minds. Done in a way that not only it is relatable and easy to grasp, but also will stay with them forever. Here lies the magic with Cuemath.

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Be it worksheets, online classes, doubt sessions, or any other form of relation, it’s the logical thinking and smart learning approach that we, at Cuemath, believe in.

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FAQs on Interquartile Range

1. How do you find the interquartile range?

The interquartile range is the difference between the first and the third quartile of the data.  The maximum part of the data lies within the interquartile range.

2. What is IQR rule?

The IQR rule is as follows.

\[ \text{Interquartile Range(IQR) = Third Quartile - First Quartile}\]

3. What is the interquartile range of the dataset?

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

4. How to make a box and whisker plot?

To draw a box plot, arrange the data in ascending order, and identify the first quartile and the third quartile. Draw the box plot with the first quartile and the third quartile as the boundaries. The lines which extend beyond the box is called the whiskers and it represents the remaining data outside the first and third quartile. The outliers are marked as points on the whiskers.

5. What is the lower quartile?

For the given data, arrange it into ascending order and divide it into four equal parts. The datapoint which divides the data into 25% and 75% is called the lower quartile.  
Also, the lower quartile is a data point that divides the first half of the data into two equal parts. 

6. What is the upper quartile?

Arrange the data in ascending order and divide it into four equal parts. The datapoint above the median, which divides it into 75% and 25% is called the upper quartile.  
Further, the upper quartile is a data point, which divides the second half of the data into two equal parts.

7. How do you find quartile and interquartile ranges?

The first quartile is the data point which marks the first 25% of the data. The third quartile is the data point which marks 75% of the data.

The interquartile range is the difference between the first and the third quartile of the data. \[ \text{Interquartile Range(IQR) = Third Quartile - First Quartile}\]

8. What do we use the interquartile range for?

We use an interquartile range to avoid outliers. Also, the maximum part of the data exists within the interquartile range.