If you edit documents in different formats daily, the universality of the document tools matters a lot. If your instruments work with only a few of the popular formats, you may find yourself switching between application windows to strike chart in HWP and manage other file formats. If you want to remove the hassle of document editing, get a platform that can effortlessly handle any extension.
With DocHub, you do not need to focus on anything apart from actual document editing. You won’t need to juggle programs to work with various formats. It can help you modify your HWP as effortlessly as any other extension. Create HWP documents, edit, and share them in a single online editing platform that saves you time and boosts your productivity. All you need to do is sign up an account at DocHub, which takes just a few minutes.
You won’t have to become an editing multitasker with DocHub. Its functionality is sufficient for speedy document editing, regardless of the format you need to revise. Start by registering an account and see how straightforward document management can be having a tool designed specifically to suit your needs.
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