Final answer:
The c-chart is primarily used in Process sampling by attributes, for monitoring the number of defects in quality control processes where the number of opportunities for defects is constant or known. It's part of attribute sampling, different from variable control charts, and is not used for process capability computations or any form of acceptance sampling.
Step-by-step explanation:
The normal application of a c-chart is in Process sampling by attributes (C). A c-chart is used in quality control processes to monitor the number of defects per unit or sample. This form of chart is particularly useful when the number of opportunities for defects is constant or known. It is not used for process capability ratio computations, acceptance sampling by variables, process sampling by variables, nor for acceptance sampling by attributes.
Understanding the application of statistical tools like the c-chart is important for ensuring that the appropriate methods are applied in various quality control scenarios. The c-chart is a type of control chart used to monitor "count-type" data, typically for nonconformities or defects. This falls under the category of attribute sampling where items are inspected and classified as either conforming or nonconforming to a specified standard.
To clarify, the c-chart differs from variable control charts, like the X-bar and R charts, which monitor continuous data such as time, weight, and dimension. In situations where one is dealing with categorical data (like defect counts), the c-chart is the appropriate choice to assess stability and control in a process.