![]() Your plant manager has assured the customer that they work correctly, but suggests that you investigate the matter. Our plant has had some customer concerns with plating voids on printed circuit board units. ![]() Let's revisit the case of the printed circuit board. Our learning objective is to assess capability from an X-Bar and s Chart for data that is normally distributed. In this video, we'll explore assessing capability from an X-Bar and s Chart. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. ![]() The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. Additionally, you will learn how to assess a process with respect to how capable it is of meeting specifications, either internal or external, and make decisions about process improvement. You will analyze data sets for statistical control using control rules based on probability. You will create statistical process control charts for both continuous and discrete data using R software. In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing.
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