Introduction:
Frequency density is a statistical term that is used to describe the number of observations that fall within a specific range or class interval. It is a useful tool in data analysis and visualization, particularly in constructing various graphical representations of data.

Histogram:
Histogram is a graphical representation of data that displays the frequency distribution of a set of continuous data. In constructing a histogram, frequency density is used to represent the height of each bar in the histogram. The frequency density is calculated by dividing the frequency of each class interval by the width of the interval.

Ogive:
Ogive is another graphical representation of data that displays the cumulative frequency distribution of a set of data. In constructing an ogive, frequency density is used to represent the slope of the curve. The frequency density is calculated by dividing the frequency of each class interval by the total number of observations.

Frequency Polygon:
Frequency polygon is a graphical representation of data that displays the frequency distribution of a set of data using a continuous line. In constructing a frequency polygon, frequency density is used to represent the height of each point on the line. The frequency density is calculated by dividing the frequency of each class interval by the width of the interval.

Conclusion:
In conclusion, frequency density is a useful tool in constructing various graphical representations of data. It is used to represent the height of bars in a histogram, the slope of a curve in an ogive, and the height of points on a line in a frequency polygon.

Histogram