Which type of control charts is specifically utilized for non-continuous data?

Attribute Control Charts are specifically designed for non-continuous data, which typically includes categorical outcomes or characteristics that can be counted rather than measured. This type of control chart is often used when you want to assess the quality of a process based on attributes or discrete data, such as the number of defective items or the presence/absence of a certain characteristic.

In contrast, Variable Control Charts are utilized for continuous data, measuring characteristics that can take on an infinite number of values within a range, such as height, weight, or temperature. Standard Control Charts is a more general term that does not specifically refer to either type of data. Process Control Charts can refer to both variable and attribute data, but when it comes to specifically dealing with non-continuous data, Attribute Control Charts are the preferred choice.

Thus, the focus of Attribute Control Charts on discrete outcomes makes them uniquely suited to analyzing non-continuous data correctly and effectively.