Step 1: Understanding the Concept:
A histogram is a graphical representation of a frequency distribution.
The fundamental principle of a histogram is that the area of each rectangle must be directly proportional to the frequency of its corresponding class interval.
Step 2: Detailed Explanation:
Let us analyze what happens when the class intervals are unequal:
- For equal class intervals, the width of all rectangles is constant, so the height of the rectangles can be plotted directly proportional to the raw frequencies.
- For unequal class intervals, plotting raw frequencies as heights would distort the visual representation because wider bars would have disproportionately larger areas, misleading the viewer.
- To maintain the principle that Area $\propto$ Frequency, we must calculate the frequency density for each class:
\[ \text{Area} = \text{Width} \times \text{Height} \propto \text{Frequency} \]
\[ \text{Height} \propto \frac{\text{Frequency}}{\text{Width}} \]
where:
- Width = class width (class interval size).
- Height = height of the rectangle.
- Thus, the height of each rectangle must be proportional to the ratio of its frequency to its class width (frequency density).
Step 3: Final Answer:
The height of the rectangles will be proportional to the ratios of the frequencies to the widths of class intervals.