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The Control Chart is a statistical tool used for visualizing the relationship between a quality characteristic, or performance measure, and a set of key processes or control systems. It is most useful when the two groups of variables are highly correlated. This is because, in such cases, we want to distinguish the set of processes or control systems that contribute the most to the quality characteristic, from those that do not. The main use of Control Charts is for process control. But, with the advent of Quality Systems, Control Charts have now become an important tool for controlling quality at an organiz
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Subjective assessments such as grades, ratings, marks, or feedback, are one of the main ways of judging student learning and growth. They’re the kind of feedback that you’re constantly seeking out, either from your teachers, your peers, or from others online. In this article, we will explain how control charts can be used to make objective decisions and improve your own assessments. For instance, when you’re grading student work, a control chart will help you identify whether you’ve met the standard of quality you’ve set for
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I’m not a computer guy, but I can explain Control Charts to you in no time. Here are the steps: Step 1: Identify your variables Look at your data and determine what variables you need to measure. Identify the dependent variable (the one you want to determine) and independent variables (the factors that are responsible for your dependent variable). Step 2: Choose the appropriate statistical test (e.g. t-test, ANOVA, chi-square) Determine the statistical test that will provide the most accurate
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