Evaluating Continuous Improvement with Measurement Analysis (EMU 110W)

This course provides the participant with essential tools to be efficient in laboratory operations, including making continual measurement process improvements in the calibration and testing environment. Industry-proven Statistical tools such as Statistical Process Control (SPC), False Accept Risk, Hypothesis Testing and others are covered.

This virtual instructor-led course will be conducted online. On the right side of the page you will see the dates and times available for this course, each with an individual registration link. Learners will attend using a virtual learning program and will participate in live discussion and activities. A webcam and microphone are required. Details about how to log into the virtual learning program will be provided after your registration is complete.

Prerequisites

Participants should be:
- familiar with statistical functions in spreadsheets, and
- able to apply basic measurement uncertainty evaluation/estimation principles (Introduction to Measurement Uncertainty EMU 101)

Target Attendees

Laboratory Managers, Engineers, Scientists, or Technicians

Learning Outcomes

After successful completion of the course, the participant will be able to:  

1. Apply tools and techniques learned during the course to their measurement processes;
2. Employ the statistical capability of spreadsheet applications;
3. Identify and utilize supplemental tools for determining Type A measurement uncertainty (Repeatability and Reproducibility); and
4. Demonstrate techniques for calibration interval analysis and other improvements to the measurement process.

LEUs Awarded

1.4 LEUs Awarded*

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