The mode of grouped data in statistics refers to the value that occurs most frequently within a grouped frequency distribution. Unlike raw data, where the mode is the most repeated observation, grouped data is organised into class intervals, which makes determining the mode a more structured process. The concept of mode is widely used in real-life data analysis, such as determining the most common income group, the most popular product size, the frequently occurring marks range in a class, etc.
The mode is the value in a set of observations that occurs most frequently, meaning it has the highest frequency compared to all other values in the set of observations. In the case of ungrouped data, the mode is easy to identify because we have to simply look for the number that appears the most often in the dataset. For example, the wickets taken by a bowler in 12 cricket matches are as follows:2,4,4,5,0,2,1,3,2,3,2,0. We can observe that 2 is the number of wickets taken by the bowler in the maximum number (i.e., 4) of matches. So, the mode of this data is 2. In grouped data, the process becomes more systematic since the data is organised into class intervals instead of individual values. It is also possible for a dataset to have more than one mode if multiple values or class intervals share the same highest frequency. Such a dataset is called multimodal.
Know more about related topics:
Mode = L+(f1−f0)(2f1−f0−f2)×h
Where:
L = Lower limit of modal class
f1 = Frequency of modal class
f0 = Frequency of preceding class
f2 = Frequency of succeeding class
h = Class width
Modal Class: The modal class is the class interval that has the maximum frequency in a frequency distribution table.
For example, if students’ marks are grouped as 0–10, 10–20, 20–30, and 30–40, with frequencies of 5, 8, 15, and 9, respectively. The interval 20–30 has the highest frequency, so it is the modal class.
Given below are the steps to find the mode of grouped data.
Step 1: Identify modal class: Find the class with the highest frequency.
Step 2: Note required values: Extract L, f1,f0,f2, and h.
Step 3: Substitute the values in the formula
NOTE: The mode of grouped data can also be found using the empirical relationship between mean, median, and mode: Mode = 3 Median − 2 Mean
The derivation of the mode formula is given by using the bar graph.
Let the frequency of the modal class be f1.
The frequency of the class first after the modal class is f2.
The frequency of the preceding modal class = f0
The lower limit of the modal class = l_{0}
From the above figure, we can see that ∆AEB ~ ∆DEC
⇒ ABCD=BEDE
But BE = f1−f0 and DE = f1−f2.
ABCD=BEDE=f1−f0f1−f2
ABCD=f1−f0f1−f2
From the above figure, we can see that ∆BEF ~ ∆BDC
⇒ FEBC=BEBD
But BE = f1−f0 and
BD = BE + ED = f1−f0+f1−f2=2f1−f0−f2.
Therefore, we have,
FEBC=BEBD=f1−f02f1−f0−f2
FE = f1−f02f1−f0−f2×BC
Let FE = x,
x=f1−f02f1−f0−f2×h
Thus, the mode is given by l_{0} + x.
Mode = l0+f1−f02f1−f0−f2×h
Example 1: Find the mode of the grouped data organized in the table given below
Solution: Modal class = 20–30 , L = 20, f1=12,f0=6,andh=10
Mode = l0+f1−f02f1−f0−f2×h
Mode = 20+(12−6)24−6−8×10
= 20+610×10
= 26
Therefore, mode = 26
Example 2: A survey was conducted on 25 families. The data is given below. Find the mode.
Solution: The highest frequency is 9, so the modal class is 3–5.
L = 3, f1=9,f0=5, and h = 2
Mode = l0+f1−f02f1−f0−f2×h
Mode = 3+(9−5)18−5−6×2
=3+47×2
= 3 + 1.14
= 4.14
Therefore, mode = 4.14
The following data shows the marks of students. Find the mode.
A survey of 20 households is given below. Find the mode.
The mode of grouped data is an important concept in statistics that is used to estimate the most frequent value in a dataset organised into class intervals. By identifying the modal class and applying the standard formula, we can accurately approximate the central tendency of large datasets.
The mode of grouped data is the most frequent value in a dataset organised into class intervals.
In ungrouped data, the mode is easy to identify because we have to simply look for the number that appears the most often in the dataset. In grouped data, it is the most frequent value in a dataset organised into class intervals.
Mode = L+(f1−f0)(2f1−f0−f2)×h
Where:
L = Lower limit of modal class
f1 = Frequency of modal class
f0 = Frequency of preceding class
f2 = Frequency of succeeding class
Mode is widely used in real life to identify the most common category, such as most popular product size, most common income group, or most frequent exam score range
Yes, a dataset can have more than one mode. Such a dataset is called multimodal.
CBSE Schools In Popular Cities