Unequal widths of classes in the frequency distribution do not cause any difficulty in the construction of Histogram.

Explanation:
A histogram is a graphical representation of a frequency distribution in which data is divided into classes or intervals and the frequencies of the data are represented by the heights of the bars. The width of each bar represents the class interval and the height of each bar is proportional to the frequency of data within that interval.

Unequal widths of classes in the frequency distribution do not cause any difficulty in the construction of Histogram. This is because the height of the bar in a histogram is proportional to the frequency of data within that interval, not the width of the interval. As long as the frequency of data within each interval is accurately represented by the height of the corresponding bar, the histogram can be constructed without any difficulty.

In contrast, unequal widths of classes in the frequency distribution can cause difficulty in the construction of an ogive or a frequency polygon. This is because the width of each interval is important in the construction of these graphs. In an ogive or a frequency polygon, the frequency of data is represented by the position of points on a graph. The position of the points is determined by the midpoint of each interval and the cumulative frequency up to that interval. If the intervals are of unequal width, it can be difficult to accurately represent the position of the points on the graph.

In conclusion, unequal widths of classes in the frequency distribution do not cause any difficulty in the construction of Histogram, but it can cause difficulty in the construction of an ogive or a frequency polygon.