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Statistical Quality Control Charts

Source: AIChE
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  • Type:
    eLearning (online) Course
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  • Duration:
    8 hours
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Improve quality control of your processes and save time and money by avoiding unnecessary operational changes. This eLearning course will equip you with the skills to use statistical metrics to monitor your processes and determine if they are in or out of control.

Even if you’re new to statistics, learn a technique based on a statistical analysis of the data that is not limited to just quality, but can be used with other numerical measurements. Originally called “quality control charts”, they now are also referred to as “process control charts.”  In eight one-hour lectures, you’ll explore basic statistical analyses and how to construct control charts based on the appropriate error distribution of a process, control and interpret those charts. In addition, you’ll learn how to validate data through the Analysis of Variance (ANOVA) and on statistically designed experiments. This knowledge can be used when trouble-shooting a process determined to be statistically out of control.


T. David Griffith

Dr. Griffith received his Bachelor of Science in Chemical Engineering from The University of Texas at Austin, and his Ph.D. from the University of Wisconsin-Madison, then ranked number one in Chemical Engineering. After working in research on enhanced oil recovery (EOR), he and two friends started a small chemical company in Wisconsin specializing in furniture restoration products. Later, his career took a major shift when he developed a record setting electronic data interchange (EDI) software package for his wife’s computer software...Read more



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