Question:
Histogram can be drawn only for:
Histogram can be drawn only for:
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Histograms are most suitable for continuous data as they provide a clear visual representation of the distribution and frequency of data within specified ranges or intervals.
Updated On: Jul 14, 2026
- Cumulative frequency distribution
- Discrete frequency distribution
- Continuous frequency distribution
- Relative frequency distribution
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The Correct Option is C
Approach Solution - 1
A histogram is a graphical representation of the continuous frequency distribution of data. It is used to represent continuous data where the data is divided into intervals (bins), and the height of each bar represents the frequency of data points in each interval.
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Approach Solution -2
The question asks which type of frequency distribution a histogram can properly be drawn for. Let's look at what each distribution type actually represents and whether it fits how a histogram is built.
- Cumulative frequency distribution: Cumulative frequency data is plotted as an ogive, a line graph joining points at the upper (or lower) class boundaries, not as a set of adjoining bars, so this is not the distribution type a histogram is drawn for.
- Discrete frequency distribution: Discrete data takes on distinct, separate values (such as counts of people or items), and this is represented with a bar diagram, where bars are drawn with gaps between them to reflect that the categories are separate and not continuous.
- Continuous frequency distribution: A histogram represents continuous data grouped into class intervals, with bars drawn directly next to each other, touching, because the intervals themselves flow continuously from one into the next with no gaps in the scale. The bar heights (or areas, for unequal class widths) represent the frequency within each interval, which is exactly the structure a histogram is built to display.
- Relative frequency distribution: Relative frequency (the proportion or percentage of total observations in each class) can be displayed using a histogram-shaped chart, but this describes what value is plotted (a proportion instead of a raw count), not the requirement that makes a histogram usable in the first place, which is that the underlying data be continuous.
The defining feature of a histogram, touching bars with no gaps between class intervals, only makes sense for data that is continuous in nature.
Therefore, the correct answer is Continuous frequency distribution.
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