Cumulative frequency is obtained by adding the frequency of a class interval and the frequencies of the preceding intervals up to that class interval.
The whole frequency of all classes less than the upper class boundary of a specified class is called the cumulative frequency of that class.
If cumulative frequencies are represented in a table then it is called as cumulative frequency distribution. Now let’s see the types of cumulative frequency distribution.
If instead of taking the simple cumulative frequency, as in the case of ogive, we take the ordinate as the percentage cumulative frequency, we shall get a percentage cumulative frequency curve. To draw such a curve, first of all the simple frequency must be expressed as percentage of the total frequency. Then such percentages are cumulated and plotted as in the case of an ogive. Such a curve is useful for comparing different frequency distributions as they are adjusted to a uniform standard. It is to be noted that the ogive for a discrete series is drawn on the assumption that the data is continuous. When the class frequencies run up to a maximum at one end of the range, they form a J-shaped curve.
| Marks | Less than Cumulative frequency |
| Less than 10 | 5 |
| Less than 15 |
7 |
| Less than 20 |
12 |
| Less than 25 |
25 |
| Less than 30 |
37 |
| Less than 35 |
64 |
| Less than 40 |
76 |
| Less than 45 |
82 |
| Less than 50 |
100 |
| Marks | Less than Cumulative frequency |
| More than 0 |
80 |
| More than 10 |
75 |
| More than 15 |
70 |
| More than 20 |
62 |
| More than 25 |
60 |
| More than 30 |
37 |
| More than 35 |
24 |
| More than 40 |
12 |
| More than 45 |
2 |
To form the cumulative percentage frequency distribution table ensure the given steps
How to calculate the cumulative percentage frequency?
Cumulative frequency% = $\left(\frac{(Cumulative\ Frequency)}{Total\ Number (N)} \times 100\right )$
where N is total number of frequencies.
Example- Cumulative percentage frequency distribution
Form a cumulative percentage frequency distribution table with the given following data
4, 3, 1, 5, 6, 3, 4, 3, 4, 1, 5, 6, 4, 2, 1, 3, 5.
Solution:
Step 1- Cumulative percentage frequency distribution
Form the frequency distribution table as follows,
Classes |
Class boundaries |
Frequency |
1 |
0.5- 1.5 |
3 |
2 |
1.5- 2.5 |
1 |
3 |
2.5-3 .5 |
4 |
4 |
3.5- 4.5 |
4 |
5 |
4.5- 5.5 |
3 |
6 |
5.5-6.5 |
2 |
Step 2 - Cumulative percentage frequency distribution
Form the cumulative frequency for the given table,
Classes |
Class boundaries |
Frequency |
Cumulative Frequency |
1 |
0.5-1.5 |
3 |
3 |
2 |
1.5-2.5 |
1 |
3 + 1 = 4 |
3 |
2.5-3.5 |
4 |
4+ 4 = 8 |
4 |
3.5-4.5 |
4 |
8 + 4 =12 |
5 |
4.5-5.5 |
3 |
12 + 3 = 15 |
6 |
5.5-6.5 |
2 |
15 + 2 = 17 |
N = 17
Step 3 -Cumulative percentage frequency distribution
Calculate the cumulative percentage using the formula,
cumulative frequency %= $\left(\frac{(Cumulative\ Frequency)}{Total\ Number (N)} \times 100\right )$
where N is total number of frequencies.
Classes |
Class boundaries |
Frequency |
Cumulative Frequency |
C. F % = c.f / N * 100 |
1 |
0.5-1.5 |
3 |
3 |
3/ 17 * 100 = 17 |
2 |
1.5-2.5 |
1 |
3 + 1 = 4 |
4/ 17 * 100 = 23 |
3 |
2.5-3.5 |
4 |
4+ 4 = 8 |
8/ 17 * 100 = 47 |
4 |
3.5-4.5 |
4 |
8 + 4 =12 |
12/ 17 * 100 = 70 |
5 |
4.5-5.5 |
3 |
12 + 3 = 15 |
15/ 17 * 100 = 88 |
6 |
5.5-6.5 |
2 |
15 + 2 = 17 |
17/ 17 * 100 = 100 |
N = 17
Thus a cumulative percentage frequency distribution table is created.
Step 4 -Cumulative percentage frequency distribution
we can plot the graph for the cumulative percentage frequency as follows,
| Class |
20-25 | 25-30 | 30-35 | 35-40 | 40-45 |
45-50 | 50-55 |
| F | 10 | 12 | 8 | 20 | 11 | 4 | 5 |
| Upper Limit |
Frequency | Less than Cumulative frequency |
| 25 | 10 | 10 |
| 30 | 12 | 10 + 12 = 22 |
| 36 | 8 | 22 + 8 = 30 |
| 40 | 20 | 30 + 20 = 50 |
| 45 | 11 | 50 + 11 = 61 |
| 50 | 4 | 61 + 4 = 65 |
| 55 | 5 | 65 + 5 = 70 |
| Upper Limit | Frequency | Less than Cumulative frequency |
Relative Cumulative Frequency |
| 25 | 10 | 10 | 10 / 70 = 0.143 |
| 30 | 12 | 10 + 12 = 22 | 22 / 70 = 0.314 |
| 35 | 8 | 22 + 8 = 30 | 30 / 70 = 0.429 |
| 40 | 20 | 30 + 20 = 50 | 50 / 70 = 0.714 |
| 45 | 11 | 50 + 11 = 61 |
61 / 70 =0. 871 |
| 50 | 4 | 61 + 4 = 65 | 65 / 70 = 0.929 |
| 55 | 5 | 65 + 5 = 70 | 70 / 70 =1 |
| Total | 70 |
Example:
The following frequency distribution table gives the marks obtained by 40 students:

Table (a)
Note: The frequencies can be added, as indicated by the arrows, to obtain the cumulative frequency.
In the table(a), it is observed that 4 students got marks 'less than 10', 9 students got marks 'less than 20' and so on.
Therefore, the above distribution is called 'less than' cumulative frequency distribution.
Table (a) can be re-written as table (b).
| Class | Cumulative Frequency |
| Less than 10 | 4 |
| Less than 20 | 9 |
| Less than 30 | 21 |
| Less than 40 | 32 |
| Less than 50 | 40 |
Table (b)
In the same way 'more than' cumulative frequency distribution can be obtained by adding to the other frequencies in the reverse order.

Table (c)
Note: The frequencies can be added, as indicated by the arrows, to obtain the cumulative frequency.
Table (c) can be re-written as table (d)
| Class | Cumulative Frequency (c.f.) |
| More than 0 | 40 |
| More than 10 | 36 |
| More than 20 | 31 |
| More than 30 | 19 |
| More than 40 | 8 |
Table (d)
| More topics in Cumulative Frequency | |
| Ogive | |