Which type of graph is used to represent the distribution of data?

A histogram is the appropriate choice for representing the distribution of data. It is specifically designed to illustrate the frequency or count of data points that fall within specific intervals, known as bins or ranges. This allows for a clear visualization of how data is spread across different values, making it easy to identify the shape of the distribution, such as normal, skewed, or uniform.

Histograms categorize continuous data into ranges, showing how many observations fall within each range, which helps in analyzing central tendencies and variability. This feature makes histograms particularly useful in statistics for assessing patterns, trends, and anomalies in the dataset.

While other types of graphs like a bar graph or pie chart can represent data, they are not specific for showing distribution in the same way. A line graph is typically used to display trends over time rather than the distribution of data points within a dataset. Therefore, the histogram is the most suitable option for illustrating the distribution of data accurately.