What does stratification help determine in quality management?

Stratification in quality management is a technique used to analyze data by separating it into different categories or layers to gain greater insight into the underlying variations. This approach enables practitioners to better understand how different components of a process or different types of data contribute to overall performance or variability.

In the context of quality management, stratification helps identify the composition of data variations by breaking down data according to specific factors such as time, location, or demographics. This allows for more detailed analysis and helps pinpoint where issues may lie. By understanding these variations clearly, organizations can focus their improvement efforts more effectively.

This option highlights the importance of analyzing data in a structured manner, which is crucial for making informed decisions that enhance quality and performance. In contrast, while determining root causes, evaluating training programs, or analyzing the relationship between quality and profit are also essential aspects of quality management, they are not the primary focus of stratification, which is specifically about analyzing the composition of variations in data.