Further Process Measurement and Analysis Techniques
A two-day course extending your statistical toolset with advanced measurement, regression and capability techniques.
Level up your data analysis. This two-day course extends the statistical toolset you built on Data Driven Insights and Decisions, adding advanced techniques for measurement, modelling and capability. Many are especially relevant to manufacturing and technical environments, and all are taught hands-on so you leave able to apply them with confidence.
Introduction
Further Process Measurement and Analysis Techniques is a direct follow-on from Data Driven Insights and Decisions, designed for anyone who needs to apply advanced tools to data analysis. It suits engineers, business analysts, quality professionals, scientists and consultants, as well as Green Belts working towards Black Belt. Topics include Gauge R&R studies for continuous data, multiple regression, process capability with non-normal data. The course is one of the five modules required to complete Lean Six Sigma Black Belt training and is BQF accredited.
Participants will be able to:
- Plan, run and interpret Gauge R&R and Gauge Linearity/Bias/Stability studies
- Build multiple regression models and assess their quality
- Handle multicollinearity and use models to make reliable predictions
- Apply curvilinear regression and analyse residuals and factorial plots
- Understand process capability and the statistics behind Cp/Pp and CpK/PpK indices
- Assess capability with non-normal and transformed data
- Format
- Virtual, In Person
- Duration
- 2 days
- CPD Points
- 16
- Download Course Information
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Why practitioners choose this programme
Practitioners choose this course to extend their statistical capability with techniques that genuinely add value in technical and manufacturing settings. It bridges intermediate training and Lean Six Sigma Black Belt, forming one of the five modules required for Black Belt certification. The hands-on approach, with relevant datasets and Minitab practice, ensures delegates can apply each technique immediately rather than simply understand it in theory.
Delivery Information / Options
The course runs over two consecutive days as a virtual open classroom training course, delivered live by experienced Master Black Belt instructors, or as bespoke in-company training delivered on-site or virtually. It is a hands-on course requiring Minitab software.
It is also available as a Minitab based self-study course.
Course Details:
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The course begins with a thorough session on measurement systems. You’ll work through Gauge R&R studies for continuous data, covering how to plan, run and analyse a study, before extending into the Gauge R study, Gauge Linearity study and Gauge Stability.
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Building your statistical foundations, you’ll revisit the Central Limit Theorem and learn how to combine distributions. The module then introduces Box-Cox and data transformation techniques, equipping you to work confidently with data that does not follow a normal distribution.
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You’ll build your knowledge of process capability and the statistics that underpin it. This includes calculating Cp and CpK with non-normal data, applying the Cpm index, and understanding the concept of the Six Sigma shift.
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A substantial part of the course extends regression into multiple regression modelling. You’ll learn to identify and handle multicollinearity using VIFs, interpret R-squared and residuals analysis, build robust models, read factorial plots, make predictions and apply curvilinear regression.
Open Training
Purchase includes 12 months access to Catalyst’s Business Improvement Zone for materials and slides.
Choose your Start Date:
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Start Tue 29th September 2026 9am – 4pm
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