Statistics for complex problems
Questions about a real-life process are sometimes well-defined enough for a simple statistical analysis based on one random sample. More often, the researcher needs to refine the questions based on data in a many-step process.
Detecting problems
Problems in a process are usually detected by collecting and analysing data about the performance of the system. Various different types of data can be collected to throw light on the performance of a system. In this section, we describe one particularly useful way to monitor processes.
Control charts are an important tool for detection of problems in a process.