What is a histogram used for in quality control?

A histogram is used primarily to analyze the distribution of data points within a dataset. In the context of quality control, it provides a visual representation of the frequency of various values, allowing practitioners to see how data is spread across different ranges. This is crucial for identifying patterns, such as whether the data follows a normal distribution or if there are any outliers that could indicate potential issues in a process.

By examining the shape and spread of the histogram, quality professionals can make informed decisions about process improvements, understand variations, assess consistency, and identify areas requiring corrective actions. The graphical format of a histogram makes it easy to interpret complex data at a glance, thus facilitating better communication regarding quality performance.

The other options pertain to different aspects of quality metrics and project management but do not focus on the primary use of a histogram in analyzing data distributions, which is central to understanding quality control processes.