Importance of Class Interval in Histogram Construction
Class intervals play a crucial role in constructing a histogram as they determine the width of each bar and the overall visual representation of the data. It is essential to carefully choose the class intervals to accurately represent the data and draw meaningful conclusions.

Equal vs. Unequal Class Intervals

Equal Class Intervals:
- Equal class intervals have the same width or size, making it easier to interpret the histogram.
- They are commonly used when the data is evenly distributed and there are no outliers.
- Equal class intervals simplify the process of creating a histogram and provide a clear visual representation of the frequency distribution.

Unequal Class Intervals:
- Unequal class intervals have varying widths, which can be useful when the data is not evenly distributed.
- They allow for more flexibility in capturing the shape of the distribution and highlighting specific patterns or outliers.
- Unequal class intervals are beneficial when there is a wide range of values in the data set, as they can help in focusing on specific areas of interest.

Choosing the Right Class Interval
When constructing a histogram, it is important to consider the nature of the data and the purpose of the analysis. Equal class intervals are suitable for simple and evenly distributed data, while unequal class intervals are more appropriate for complex or skewed distributions. By selecting the right class intervals, you can create a visually appealing and informative histogram that effectively communicates the underlying patterns in the data.

Frequency distribution must be equal