# Inter Quartile Range Calculator for grouped data with examples

## Inter Quartile Range for Grouped Data Calculator

Use this calculator to find the Inter Quartile Range for grouped (frequency distribution) data.

## Calculator

Inter Quartile Range Calculator (Grouped Data)
Type of Frequency Distribution DiscreteContinuous
Enter the Classes for X (Separated by comma,)
Enter the frequencies (f) (Separated by comma,)
Results
Number of Observation (N):
First Quartile : ($Q_1$)
Second Quartile : ($Q_2$)
Third Quartile : ($Q_3$)
Inter Quartile Range : $IQR$

## How to find Inter Quartile Range (IQR) for grouped data?

Step 1 - Select type of frequency distribution (Discrete or continuous)

Step 2 - Enter the Range or classes (X) seperated by comma (,)

Step 3 - Enter the Frequencies (f) seperated by comma

Step 4 - Click on "Calculate" for Inter quartile range

Step 5 - Gives output as number of observation (N)

Step 6 - Calculate three quartiles $Q_1$, $Q_2$ and $Q_3$

Step 7 - Calculate Inter quartile range (IQR)

## Inter Quartile Range for grouped data

Inter quartile range is the difference between the third quartile $Q_3$ and first quartile $Q_1$. It is a good measure of spread to use for skewed distribution. Inter quartile range (IQR) is given by

$IQR = Q_3-Q_1$

where,

• $Q_1$ is the first quartile
• $Q_3$ is the third quartile

The formula for $i^{th}$ quartile is

 \begin{aligned} Q_i=l + \bigg(\frac{\frac{iN}{4} - F_<}{f}\bigg)\times h; \quad i=1,2,3 \end{aligned}

where,

• $l :$ the lower limit of the $i^{th}$ quartile class
• $N=\sum f :$ total number of observations
• $f :$ frequency of the $i^{th}$ quartile class
• $F_< :$ cumulative frequency of the class previous to $i^{th}$ quartile class
• $h :$ the class width

## Inter Quartile Range Example 1

A class teacher has the following data about the number of absences of 35 students of a class. find inter quartile range for the following frequency distribution.

No.of days ($x$) 2 3 4 5 6
No. of Students ($f$) 1 15 10 5 4

### Solution

$x_i$ $f_i$ $cf$
2 1 1
3 15 16
4 10 26
5 5 31
6 4 35
Total 35

Inter quartile range (IQR)

The inter quartile range is given by $IQR= Q_3-Q_1$.

The formula for $i^{th}$ quartile range for grouped data is

$Q_i =\bigg(\dfrac{i(N)}{4}\bigg)^{th}$ value, $i=1,2,3$

where $N$ is the total number of observations.

First Quartile $Q_1$

 \begin{aligned} Q_{1} &=\bigg(\dfrac{1(N)}{4}\bigg)^{th}\text{ value}\\ &= \bigg(\dfrac{1(35)}{4}\bigg)^{th}\text{ value}\\ &=\big(8.75\big)^{th}\text{ value} \end{aligned}

The cumulative frequency just greater than or equal to $8.75$ is $16$. The corresponding value of $X$ is the $1^{st}$ quartile. That is, $Q_1 =3$ days.

Thus, $25$ % of the students had absences less than or equal to $3$ days.

Third Quartile $Q_3$

 \begin{aligned} Q_{3} &=\bigg(\dfrac{3(N)}{4}\bigg)^{th}\text{ value}\\ &= \bigg(\dfrac{3(35)}{4}\bigg)^{th}\text{ value}\\ &=\big(26.25\big)^{th}\text{ value} \end{aligned}

The cumulative frequency just greater than or equal to $26.25$ is $31$. The corresponding value of $X$ is the $3^{rd}$ quartile. That is, $Q_3 =5$ days.

Thus, $75$ % of the students had absences less than or equal to $5$ days.

Inter quartile range

The inter quartile range is

 \begin{aligned} IQR & = Q_3 - Q_1\\ &= 5 - 3\\ & = 2. \end{aligned}

## Inter Quartile Range Example 2

The following table gives the amount of time (in minutes) spent on the internet each evening by a group of 56 students.

Time spent on Internet ($x$) No. of students ($f$)
10-12 3
13-15 12
16-18 15
19-21 24
22-24 2

Calculate Inter quartile range for the frequency distribution.

### Solution

Class Interval Class Boundries $f_i$ $cf$
10-12 9.5-12.5 3 3
13-15 12.5-15.5 12 15
16-18 15.5-18.5 15 30
19-21 18.5-21.5 24 54
22-24 21.5-24.5 2 56
Total 56

Quartiles

The formula for $i^{th}$ quartile range for grouped data is

$Q_i =\bigg(\dfrac{i(N)}{4}\bigg)^{th}$ value, $i=1,2,3$

where $N$ is the total number of observations.

First Quartile $Q_1$

 \begin{aligned} Q_{1} &=\bigg(\dfrac{1(N)}{4}\bigg)^{th}\text{ value}\\ &= \bigg(\dfrac{1(56)}{4}\bigg)^{th}\text{ value}\\ &=\big(14\big)^{th}\text{ value} \end{aligned}

The cumulative frequency just greater than or equal to $14$ is $15$. The corresponding class $12.5-15.5$ is the $1^{st}$ quartile class.

Thus

• $l = 12.5$, the lower limit of the $1^{st}$ quartile class
• $N=56$, total number of observations
• $f =12$, frequency of the $1^{st}$ quartile class
• $F_< = 3$, cumulative frequency of the class previous to $1^{st}$ quartile class
• $h =3$, the class width

The first quartile $Q_1$ can be computed as follows:

 \begin{aligned} Q_1 &= l + \bigg(\frac{\frac{1(N)}{4} - F_<}{f}\bigg)\times h\\ &= 12.5 + \bigg(\frac{\frac{1*56}{4} - 3}{12}\bigg)\times 3\\ &= 12.5 + \bigg(\frac{14 - 3}{12}\bigg)\times 3\\ &= 12.5 + \big(0.9167\big)\times 3\\ &= 12.5 + 2.75\\ &= 15.25 \text{ minutes} \end{aligned}
Thus, $25$ % of the students spent less than or equal to $15.25$ minutes on the internet.

Third Quartile $Q_3$

 \begin{aligned} Q_{3} &=\bigg(\dfrac{3(N)}{4}\bigg)^{th}\text{ value}\\ &= \bigg(\dfrac{3(56)}{4}\bigg)^{th}\text{ value}\\ &=\big(42\big)^{th}\text{ value} \end{aligned}

The cumulative frequency just greater than or equal to $42$ is $54$. The corresponding class $18.5-21.5$ is the $3^{rd}$ quartile class.

Thus

• $l = 18.5$, the lower limit of the $3^{rd}$ quartile class
• $N=56$, total number of observations
• $f =24$, frequency of the $3^{rd}$ quartile class
• $F_< = 30$, cumulative frequency of the class previous to $3^{rd}$ quartile class
• $h =3$, the class width

The third quartile $Q_3$ can be computed as follows:

 \begin{aligned} Q_3 &= l + \bigg(\frac{\frac{3(N)}{4} - F_<}{f}\bigg)\times h\\ &= 18.5 + \bigg(\frac{\frac{3*56}{4} - 30}{24}\bigg)\times 3\\ &= 18.5 + \bigg(\frac{42 - 30}{24}\bigg)\times 3\\ &= 18.5 + \big(0.5\big)\times 3\\ &= 18.5 + 1.5\\ &= 20 \text{ minutes} \end{aligned}

Thus, $75$ % of the students spent less than or equal to $20$ minutes on the internet.

Inter quartile range

The inter quartile range is

 \begin{aligned} IQR & = Q_3 - Q_1\\ &= 20 - 15.25\\ & = 4.75 \text{ minutes}. \end{aligned}

## Inter Quartile Range Example 3

The Scores of students in a Math test is given in the table below :

Class Interval 10-20 20-30 30-40 40-50 50-60 60-70
Frequency ($f$) 6 8 12 10 5 4

Find inter quartile range for the given grouped data.

### Solution

Class Interval Class Boundries $f_i$ $cf$
10-20 10-20 6 6
20-30 20-30 8 14
30-40 30-40 12 26
40-50 40-50 10 36
50-60 50-60 5 41
60-70 60-70 4 45
Total 45

Quartiles

The formula for $i^{th}$ quartile for grouped data is

$Q_i =\bigg(\dfrac{i(N)}{4}\bigg)^{th}$ value, $i=1,2,3$

where $N$ is the total number of observations.

First Quartile $Q_1$

 \begin{aligned} Q_{1} &=\bigg(\dfrac{1(N)}{4}\bigg)^{th}\text{ value}\\ &= \bigg(\dfrac{1(45)}{4}\bigg)^{th}\text{ value}\\ &=\big(11.25\big)^{th}\text{ value} \end{aligned}

The cumulative frequency just greater than or equal to $11.25$ is $14$. The corresponding class $20-30$ is the $1^{st}$ quartile class.

Thus

• $l = 20$, the lower limit of the $1^{st}$ quartile class
• $N=45$, total number of observations
• $f =8$, frequency of the $1^{st}$ quartile class
• $F_< = 6$, cumulative frequency of the class previous to $1^{st}$ quartile class
• $h =10$, the class width

The first quartile $Q_1$ can be computed as follows:

 \begin{aligned} Q_1 &= l + \bigg(\frac{\frac{1(N)}{4} - F_<}{f}\bigg)\times h\\ &= 20 + \bigg(\frac{\frac{1*45}{4} - 6}{8}\bigg)\times 10\\ &= 20 + \bigg(\frac{11.25 - 6}{8}\bigg)\times 10\\ &= 20 + \big(0.6562\big)\times 10\\ &= 20 + 6.5625\\ &= 26.5625 \text{ Scores} \end{aligned}

Thus, $25$ % of the students scores less than or equal to $26.5625$ marks in Math test.

Third Quartile $Q_3$

 \begin{aligned} Q_{3} &=\bigg(\dfrac{3(N)}{4}\bigg)^{th}\text{ value}\\ &= \bigg(\dfrac{3(45)}{4}\bigg)^{th}\text{ value}\\ &=\big(33.75\big)^{th}\text{ value} \end{aligned}

The cumulative frequency just greater than or equal to $33.75$ is $36$. The corresponding class $40-50$ is the $3^{rd}$ quartile class.

Thus

• $l = 40$, the lower limit of the $3^{rd}$ quartile class
• $N=45$, total number of observations
• $f =10$, frequency of the $3^{rd}$ quartile class
• $F_< = 26$, cumulative frequency of the class previous to $3^{rd}$ quartile class
• $h =10$, the class width

The third quartile $Q_3$ can be computed as follows:

 \begin{aligned} Q_3 &= l + \bigg(\frac{\frac{3(N)}{4} - F_<}{f}\bigg)\times h\\ &= 40 + \bigg(\frac{\frac{3*45}{4} - 26}{10}\bigg)\times 10\\ &= 40 + \bigg(\frac{33.75 - 26}{10}\bigg)\times 10\\ &= 40 + \big(0.775\big)\times 10\\ &= 40 + 7.75\\ &= 47.75 \text{ Scores} \end{aligned}

Thus, $75$ % of the students scores less than or equal to $47.75$ marks in Math Test.

Inter quartile range

The inter quartile range is

 \begin{aligned} IQR & = Q_3 - Q_1\\ &= 47.75 - 26.5625\\ & = 21.1875 \text{ Scores}. \end{aligned}

## Inter Quartile Range Example 4

The following data shows the distribution of maximum loads in short tons supported by certain cables produced by a company:

9.25-9.75 2
9.75-10.25 5
10.25-10.75 12
10.75-11.25 17
11.25-11.75 14
11.75-12.25 6
12.25-12.75 3
12.75-13.25 1

Calculate inter quartile range for the above frequency distribution.

### Solution

Class Interval Class Boundries $f_i$ $cf$
9.25-9.75 9.25-9.75 2 2
9.75-10.25 9.75-10.25 5 7
10.25-10.75 10.25-10.75 12 19
10.75-11.25 10.75-11.25 17 36
11.25-11.75 11.25-11.75 14 50
11.75-12.25 11.75-12.25 6 56
12.25-12.75 12.25-12.75 3 59
12.75-13.25 12.75-13.25 1 60
Total 60

Quartiles

The formula for $i^{th}$ quartile for grouped data is

$Q_i =\bigg(\dfrac{i(N)}{4}\bigg)^{th}$ value, $i=1,2,3$

where $N$ is the total number of observations.

First Quartile $Q_1$

 \begin{aligned} Q_{1} &=\bigg(\dfrac{1(N)}{4}\bigg)^{th}\text{ value}\\ &= \bigg(\dfrac{1(60)}{4}\bigg)^{th}\text{ value}\\ &=\big(15\big)^{th}\text{ value} \end{aligned}

The cumulative frequency just greater than or equal to $15$ is $19$. The corresponding class $10.25-10.75$ is the $1^{st}$ quartile class.

Thus

• $l = 10.25$, the lower limit of the $1^{st}$ quartile class
• $N=60$, total number of observations
• $f =12$, frequency of the $1^{st}$ quartile class
• $F_< = 7$, cumulative frequency of the class previous to $1^{st}$ quartile class
• $h =0.5$, the class width

The first quartile $Q_1$ can be computed as follows:

 \begin{aligned} Q_1 &= l + \bigg(\frac{\frac{1(N)}{4} - F_<}{f}\bigg)\times h\\ &= 10.25 + \bigg(\frac{\frac{1*60}{4} - 7}{12}\bigg)\times 0.5\\ &= 10.25 + \bigg(\frac{15 - 7}{12}\bigg)\times 0.5\\ &= 10.25 + \big(0.6667\big)\times 0.5\\ &= 10.25 + 0.3333\\ &= 10.5833 \text{ tons} \end{aligned}

Thus, $25$ % of the cables less than or equal to $10.5833$ tons of maximum load.

Third Quartile $Q_3$

 \begin{aligned} Q_{3} &=\bigg(\dfrac{3(N)}{4}\bigg)^{th}\text{ value}\\ &= \bigg(\dfrac{3(60)}{4}\bigg)^{th}\text{ value}\\ &=\big(45\big)^{th}\text{ value} \end{aligned}

The cumulative frequency just greater than or equal to $45$ is $50$. The corresponding class $11.25-11.75$ is the $3^{rd}$ quartile class.

Thus

• $l = 11.25$, the lower limit of the $3^{rd}$ quartile class
• $N=60$, total number of observations
• $f =14$, frequency of the $3^{rd}$ quartile class
• $F_< = 36$, cumulative frequency of the class previous to $3^{rd}$ quartile class
• $h =0.5$, the class width

The third quartile $Q_3$ can be computed as follows:

 \begin{aligned} Q_3 &= l + \bigg(\frac{\frac{3(N)}{4} - F_<}{f}\bigg)\times h\\ &= 11.25 + \bigg(\frac{\frac{3*60}{4} - 36}{14}\bigg)\times 0.5\\ &= 11.25 + \bigg(\frac{45 - 36}{14}\bigg)\times 0.5\\ &= 11.25 + \big(0.6429\big)\times 0.5\\ &= 11.25 + 0.3214\\ &= 11.5714 \text{ tons} \end{aligned}

Thus, $75$ % of the cables less than or equal to $11.5714$ tons of maximum load.

Inter quartile range

The inter quartile range is

 \begin{aligned} IQR & = Q_3 - Q_1\\ &= 11.5714 - 10.5833\\ & = 0.9881 \text{ tons}. \end{aligned}

## Conclusion

Hope you like article on how to calculate Inter Quartile for grouped data and step by step procedure to solve numerical problems based on IQR for grouped data.

Descriptive Statistics

Let me know in the comments if you have any questions on Inter Quartile Range calculator for grouped data with examples and your thought on this article. VRCBuzz co-founder and passionate about making every day the greatest day of life. Raju is nerd at heart with a background in Statistics. Raju looks after overseeing day to day operations as well as focusing on strategic planning and growth of VRCBuzz products and services. Raju has more than 25 years of experience in Teaching fields. He gain energy by helping people to reach their goal and motivate to align to their passion. Raju holds a Ph.D. degree in Statistics. Raju loves to spend his leisure time on reading and implementing AI and machine learning concepts using statistical models.

### 1 thought on “Inter Quartile Range Calculator for grouped data with examples”

1. Very useful