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Welcome to this series on Statistical Process Control. In this video, we will be constructing a control chart for R (or an R-chart) from raw data. Control charts are used to monitor how a process changes over time. They reveal the stability or variability in a process. They help us to distinguish between random and asdocHub variations. Random Variations, also called Natural Variations, are present in every system. AsdocHub Variations on the other hand are Special Causes of Variation. So the objective of statistical process control is to identify and eliminate these external causes of variation. Here is an example of a control chart. It comprises of a lower control limit (LCL), centre line (CL), and an upper control limit (UCL). If a process is operating within acceptable limits, we say that the process is in statistical control or stable. Otherwise, the process is out of control. For the purpose of this video, we will just say that a process is in control if 1. There are no sa
