What is a histogram primarily used for in graphical measurement tools?

A histogram is primarily used to represent frequency distribution, making it a powerful tool for visualizing how data points are dispersed across a range of values. By plotting data into bins or intervals, it allows users to quickly see how frequently each range of values occurs within a dataset. This visual representation helps in identifying patterns such as skewness, modality (the presence of one or multiple peaks), and the overall distribution shape of the data.

In contrast, other graphical tools serve different purposes. For instance, scatter plots are typically used to display the correlation between two variables, line graphs are better for showing trends over time, and various root cause analysis tools are employed specifically to identify underlying issues in datasets. By focusing on frequency distribution, histograms are particularly effective in summarizing large data sets and assisting in statistical analysis.