Note: Students who complete this course have an option to apply for the certification exam by Quality Gurus Inc. and can achieve the Verified Certification from Quality Gurus Inc. It is optional and there is no separate fee for that.

Before you start taking measurements to ensure the quality of a product or a service, you need to make sure that you have a good measurement system in place. The data collected using a bad measurement system will lead you to the wrong conclusions.

In this course, you will learn about Measurement System Analysis (MSA) starting from the basics.

The course starts with the basic concepts related to measurement and measurement systems.

In this you will learn:

• The effect of measurement system variation of the quality

• Two categories of Measurement System Analysis: Gage Repeatability/Reproducibility (for numeric data) and Attribute Agreement Analysis (for discrete data)

• Resolution and discrimination

• Accuracy and precision

• Measurements of accuracy: Bias, Linearity and Stability

• Measurements of precision: Repeatability and Reproducibility

• Type 1 Gage Study - Conditions for conducting, Minitab Example, Basic Statistics, Bias, Capability (Cg and Cgk), Percent Variation. In addition to the interpretation of the results, this section will also explain some basic concepts such as Hypothesis Testing and Process Capability.

• Run Chart - This will show the results of gage study in an easy-to-understand graphical format.

• Linearity and Bias Study

• Gage Repeatability and Reproducibility (GRR) - Crossed - Range Method, Average and Range Method, ANOVA Method, Number of Distinct Categories (NDC). In addition to interpreting the results of the Crossed GRR Study, this section also covers a lecture to explain the basics of ANOVA.

• Gage Repeatability and Reproducibility (GRR) - Nested - For destructive tests.

• Attribute Agreement Analysis - for Nominal and Ordinal Data, Kappa Value and Kendall's Coefficient of Concordance (KCC)