Certified Production & Operations Manager (POM) 2026 – 400 Free Practice Questions to Pass the Exam

Control charts for variables are utilized to monitor and control processes by analyzing quantitative measurements. These charts track data that can take on a range of values, allowing for the assessment of how a process varies over time. For example, they might measure dimensions, weights, temperatures, or other continuous metrics. The quantitative nature of the data allows for statistical calculations and the determination of control limits, enabling the identification of trends or variations that may indicate a process that is out of control.

In contrast, qualitative data pertains to characteristics that cannot be measured on a numerical scale, such as satisfaction levels or color classifications. Nominal data refers to categories without a natural order, such as types of fruits or grooming styles, while categorical data also refers to similar types but can include ordinal data where there is a ranking (like customer satisfaction on a scale of 1 to 5). Therefore, the use of quantitative data is essential for the functionality and analysis provided by control charts for variables.