
Content Curator
When there is a common factor between the groupings, the grouping technique can be used to factor polynomials. Grouped data is data that is created by grouping individual observations of a variable into groups such that a frequency distribution table of these groups may be used to summarize or analyze the data. The benefits of grouping data include improved estimation accuracy and efficiency, as well as the ability to focus on key subpopulations while ignoring unnecessary ones.
Read Also: Real Number
| Table of Content |
Key terms: Organizing data, Displaying data, Mean, Median, Mode, Histogram, Frequency
Frequency distribution table for grouped data
[Click Here for Sample Questions]
When the collected data is large, follow the below approach to analyze it easily using tally marks.
Example:
Consider the marks of 50 students of class VII obtained in an examination. The maximum marks of the exam are 50.
23, 8, 13, 18, 32, 44, 19, 8, 25, 27, 10, 30, 22, 40, 39, 17, 25, 9, 15, 20, 30, 24, 29, 19, 16, 33, 38, 46, 43, 22, 37, 27, 17, 11, 34, 41, 35, 45, 31, 26, 42, 18, 28, 30, 22, 20, 33, 39, 40, 32
By creating a frequency distribution table for each and every observation, it will form a large table. So for easy understanding, make a table with a group of observations say 0 to 10, 10 to 20 etc.

The distribution obtained in the above table is known as the grouped frequency distribution. This helps us to bring various significant inferences like:
- Many students have secured between 20-40, i.e. 20-30 and 30-40.
- 8 students have secured higher than 40 marks, i.e. they got more than 80% in the examination.
In the above-obtained table, the groups 0-10, 10-20, 20-30,… are known as class intervals (or classes). It is observed that 10 appears in both intervals, such as 0-10 and 10-20. Similarly, 20 appears in both the intervals, such as 10-20 and 20-30. But it is not practicable that observation of either 10 or 20 can belong to two classes concurrently. To avoid this irregularity, choose the rule that the general conclusion will belong to the higher class. It means that 10 belongs to the class interval 10-20 but not to 0-10. Similarly, 20 belongs to 20-30 but not to 10-20, etc.
Consider a class, say 10-20, where 10 is the lower class interval and 20 is the upper-class interval. The difference between upper and lower class limits is called class height or class size or class width of the class interval.
Read More: Set Theory In Maths
How to determine the class size?
[Click Here for Sample Questions]
To determine the size of the class intervals, follow the below steps:
Step 1: Identify the highest and the lowest (least) data values in the given observations.
Step 2: Find the difference between the highest and least value.
Step 3: Now, assume the number of class intervals needed (usually 5 to 20 classes are suggested to take based on the number of observations).
Step 4: Divide the difference of highest and least value by the number of classes, this results in the size of the class interval.
Step 5: In case of any decimal number obtained as a class size take the nearest whole number greater than the obtained decimal as the class size.
Also Read: Statistics
Histogram
[Click Here for Sample Questions]
The frequency distribution table can be graphically shown using a histogram. Consider class intervals on the horizontal axis and the frequency on the vertical axis.

Histogram
The height of the bars represents the frequency of the class interval. There is no gap between the bars since there is no gap between the classes.
Also Check: Frequency Polygons
Things to Remember
[Click Here for Sample Questions]
- Grouping datahelps to focus on important subgroups.
- Grouping data helps to determine irrelevant data.
- Grouping of data advances the accuracy/efficiency of approximation.
- The Frequency Distribution Table is used for large Grouped Data.
- Grouping permits greater balancing of statistical power of tests of differences between strata by sampling equal numbers from strata varying widely in size.
Read Further: Types of events
Sample Questions
Ques. The following table gives the frequency distribution of the number of orders received each day during the past 50 days at the office of a mail-order company. Calculate the mean. (3 marks)

Ans:
| Number of order | f | x | Fx |
|---|---|---|---|
| 10–12 13–15 16–18 19–21 | 4 12 20 14 | 11 14 17 20 | 44 168 340 280 |
| n = 50 | =832 |
X is the midpoint of the class. It is adding the class limits and divide by 2.
\(\bar{x} = \frac{\sum f x}{\sum f}\)
= 832/50
=16.64
Ques. The marks scored by 30 students of class 10 of a certain school in the Science paper consisting of 100 marks is given below in the tabular form. Find the mean of the marks obtained by the class 10 students. (3 marks)

Ans: To find the mean of the marks obtained by the students in the Science paper, find the product of each xi and their corresponding frequency fi.
| Marks Obtained (xi) | Number of students (fi) | fixi |
|---|---|---|
| 10 | 1 | 10 |
| 20 | 1 | 20 |
| 36 | 3 | 108 |
| 40 | 4 | 160 |
| 50 | 3 | 150 |
| 56 | 2 | 112 |
| 60 | 4 | 240 |
| 70 | 4 | 280 |
| 72 | 1 | 72 |
| 80 | 1 | 80 |
| 88 | 2 | 176 |
| 92 | 3 | 276 |
| 95 | 1 | 95 |
| Total | Σfi = 30 | Σfixi = 1779 |
Thus, by using the formula, \(\bar{x} = \frac{\displaystyle\sum_{i=1}^{n} f_{i}x_{i}}{\displaystyle\sum_{i=1}^{n} f_{i}}\),
\(\bar{x}\) = 1779/30
\(\bar{x}\) = 59.3
Hence, the mean of the marks obtained is 59.3.
Ques. Based on the grouped data below, find the median: (4 marks)

Ans. 1st Step: Construct the cumulative frequency distribution
| Time to travel to work | Frequency | Cumulative Frequency |
|---|---|---|
| 1–10 11–20 21–30 31–40 41–50 | 8 14 12 9 7 | 8 22 34 43 50 |
\(\frac{n}{2} = \frac{50}{2} = 25\), class median is the 3rd class.
So, F = 22, fm = 12, Lm = 20.5 and i = 10
Therefore,
Median = Lm + (n/2+F)/ fm . i
= 21.5 +(25-22)/12. 10
= 24
Thus, 25 persons take less than 24 minutes to travel to work and another 25 persons take more than 24 minutes to travel to work.
Ques. The following data represents the survey regarding the heights (in cm) of 51 boys of Class x. Find the median height. (5 marks)

Ans: To find the median height, firstly, find the class intervals and their corresponding frequencies.
The class is below 140, 140-145, 145-150, 150-155, 155-160 and 160-165.
From the given distribution, it is observed that:
4 boys are below 140. Therefore, the frequency of class intervals below 140 is 4.
11 boys are there with heights less than 145, and 4 boys with height less than 140
Hence, the frequency distribution for the class interval 140-145=11-4=7
Similarly, the frequency of 145 -150= 29–11=18
Frequency of 150-155=40-29=11
Frequency of 155–160=46-40=6
Frequency of 160-165=51-46=5
Therefore, the frequency distribution table along with the cumulative frequencies are given below:
| Class Intervals | Frequency | Cumulative Frequency |
|---|---|---|
| Below 140 | 4 | 4 |
| 140–145 | 7 | 11 |
| 145–150 | 18 | 29 |
| 150–155 | 11 | 40 |
| 155–160 | 6 | 46 |
| 160–165 | 5 | 51 |
Here, n= 51.
Therefore, n/2=51/2=25.5
Thus, the observations lie between the class interval 145-150, i.e, the median class.
Therefore,
Lower class limit=145
Class size, h=5
Frequency of the median class, f=18
Cumulative frequency of the class preceding the median class, cf=11.
The formula to find the median of the grouped data is:
Median = \(l + (\frac{\frac{n}{2}-cf}{f}) \times h\) Now, substituting the values in the formula,
Median = \(145+(\frac{25.5-11}{18}) \times5\)
Median = \(145 + (\frac{72.5}{18})\)
Median = 145 + 4.03
Median = 149.03.
Therefore, the median height for the given data is 149. 03 cm.
Ques. A survey has been conducted by a group of students on 20 Families in a locality as shown in the following frequency distribution table. Find the mode for the given data. (4 marks)

Ans: From the given table, it is observed that the maximum class frequency is 8, and the corresponding class interval is 3-5.
Therefore, the modal class for the given data is 3-5.
The lower limit of modal class, l=3
Class size, h=2
Frequency of modal class, f1 = 8
Frequency of class proceeding to modal class, f0 = 7
Frequency of class succeeding to modal class, f2 = 2
The formula to find the mode of the grouped data is:
Mode = \(l + (\frac{f_{1}-f_{0}}{2f_{1}-f_{0}-f_{2}})×h\)
Now, substituting the values in the mode formula,
Mode = \(3 + (\frac{8-7}{2(8)-7-2}) \times 2\)
Mode = \(3+(\frac{2}{7})\)
Mode = \(\frac{(21+2)}{7}\)
Mode = \(\frac{23}{7}\)
Mode = 3.286.
Therefore, the mode of the given grouped data is 3.286.
Ques. Find the mean of the following distribution: (3 marks)

Ans:
| xi | fi | xifi |
|---|---|---|
| 10 | 7 | 10×7=70 |
| 30 | 8 | 30×8=240 |
| 50 | 10 | 50×10=500 |
| 70 | 15 | 70×15=1050 |
| 89 | 10 | 89×10=890 |
| Total | ∑fi=50 | ∑xifi=2750 |
Add up all the (xifi) values to obtain ∑xifi. Add up all the fi values to get ∑fi
Now, use the mean formula.
\(\bar{X}\) = ∑xifi / ∑fi = \(\frac{2750}{50}\) = 55
Mean = 55.
Ques. If the median of the following frequency distribution is 46, find the missing frequencies. (3 marks)

Ans.
| Class interval | Frequency | C.F. | ||||
| 10–20 | 12 | 12 | ||||
| 20–30 | 30 | 42 | ||||
| 30–40 | f1 | 42 + f1 | ||||
| 40–50 | 65 | 107 + f1 | ||||
| 50–60 | f2 | 107 + f1 + f2 | ||||
| 60–70 | 25 | 132 + f1 + f2 | ||||
| 70–80 | 18 | 150 + f1 + f2 | ||||
Let the frequency of the class 30-40 be f1 and that of the class 50-60 be f2. The total frequency is 229
12 + 30 + f1 + 65 + f2 + 25 + 18 = 229 ⇒ f1 + f2 = 79
Given that the median is 46, clearly 46 lies in the class 40-50. So 40-50 is the median class
∴ l = 40,h = 10, f = 65 and C = 42 + f1 , N = 229
Median = \(l+\frac{(\frac{N}{2}–Cf)}{f} \times h\)
⇒ \(46 = 40+\frac{(\frac{229}{2}–(42+f1))}{65} \times 10\)
⇒ \(46 = 40 + \frac{(145–2f1)}{13 }\)
⇒ \(6 = \frac{(145–2f1)}{13}\)
⇒ 2f1 = 67
⇒ f1 = 33.5 or 34
Since f1+f2=79
f2=45
Hence f1=34 and f2=45
Ques. Finding mean of the following distribution: (4 marks)

Ans: When the data is presented in the form of class intervals, the mid-point of each class (also called class mark) is considered for calculating the mean.
The formula for mean remains the same as discussed above.
Note:
\(\text{Class Mark} = \frac{\text{Upper limit + Lower limit}}{2}\)
| Class- Interval | Class Mark (xi) | Frequency (fi) | xifi |
|---|---|---|---|
| 15-25 | 20 | 6 | 120 |
| 25-35 | 30 | 11 | 330 |
| 35-45 | 40 | 7 | 280 |
| 45-55 | 50 | 4 | 200 |
| 55-65 | 60 | 4 | 240 |
| 65-75 | 70 | 2 | 140 |
| 75-85 | 80 | 1 | 80 |
| Total | 35 | 1390 |
\(\bar{X} = \frac{\sum x_{i}f_{i}}{\sum f_{i}} = \frac{1390}{35} = 39.71\)
∑fi = 35 and ∑xifi = 35
Mean = 39.71
Ques. Find the mode and median of the following frequency distribution: (5 marks)

Ans:
| x | 10 | 11 | 12 | 13 | 14 | 15 |
| f | 1 | 4 | 7 | 5 | 9 | 8 |
For a frequency distribution,
So, total number of observations = (1 + 4 + 7 + 5 + 9 + 8) = 34
It is an even number.
So, median is average of values at \((\frac{n}{2})^{th}\) and \((\frac{n}{2} + 1)^{th}\).
∴ Here, median is the average of the values at \((\frac{34}{2})^{th}\) or 17th position and \((\frac{34}{2}+1)^{th}\) or 18th position.
| X | 10 | 11 | 12 | 13 | 14 | 15 |
| F | 1 | 4 | 7 | 5 | 9 | 8 |
| position | 1 | 1 + 4 = 5 | 5 + 7 = 12 | 12 + 5 = 17 | 17 + 9 = 26 | 26 + 8 = 34 |
So, value of x at 17th position is 13 and at 18th position is 14.
∴Median = \(\frac{(13+14)}{2}\) = \(\frac{22}{7}\) = 13.5.
Mode for a frequency distribution is the value that is the most common frequent value.
Here 14 has frequency 9 which is highest. So, mode for the frequency distribution is 14.
Ques. What is the empirical relationship between mean, median, and mode? (2 marks)
Ans: Empirical relationship between mean, median, and mode is:
Mode = 3 Median – 2 Mean
⇒ Mode – Mean = 3 Median – 2 Mean – Mean
⇒ Mode – Mean = 3 Median – 3 Mean
⇒ Mode – Mean = 3 [Median – Mean]








Comments