Measurement: Assessment and Metrics

Corporate directors of quality, quality managers and executives involved with quality at the organizational or departmental level within an organization.

Please contact us for information about prerequisites.

Expected Duration
90 minutes

Were you ever in a situation where you started a new project and weren’t sure of its effectiveness? Is your new process trending toward success or failure? These are questions that should be on the mind of every manager. An effective manager is continuously gathering, monitoring, and analyzing information as it relates to organizational performance.
This course explores data analysis techniques used to detect trends of projects and processes. It describes key concepts in statistical analysis and explains how data-gathering affects the people in an organization and vice versa.


The Basics of Statistics in Quality

  • match the three levels in the GQM measurement model to examples
  • identify reasons for not using sampling to acquire data
  • match the sampling types to the situations in which they should be used
  • match key concepts of statistical analysis to descriptions
  • match the three methods used to estimate reliability to their descriptions
  • match the four main components of validity to their descriptions
  • recognize situations when it is appropriate to use long-range or short-range trend analysis
  • Measuring Process Performance

  • distinguish between common and special causes in variation
  • identify key concepts involved in dealing with common cause and special cause variation
  • recognize the capability of a process in terms of Cp and Cpk indices
  • differentiate between subjective and objective measures
  • recognize what’s involved in analyzing and using survey results




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