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Statistics with Minitab Module 2. Advanced

This advanced Minitab course provides in-depth practical skills for manufacturing, quality, and R&D professionals. Dive into complex techniques like process capability (non-normal), Gage R&R, acceptance sampling, and regression modeling to solve process challenges, validate measurement systems, and analyse product reliability.

Subsidised rate: €690    Full cost: €920

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Statistics with Minitab Module 2. Advanced

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Objectives

This course is designed to give the learner in-dept practical skills in statistical data analysis with Minitab. It is available as a public or in-company session. For in-company training, we encourage learners to bring their work-related data to maximize their learning experience.

  • Review of the Minitab environment.
  • Review of key statistical fundamentals.
  • Review of ANOVA as it applies to Gage R&R.
  • Review of I-MR and Xbar-R control charts as they apply to capability analysis.
  • Life-time probability distributions and their relevance to product reliability – Normal, Lognormal, Exponential and Weibull.
  • Process capability analysis with Minitab – normal data, non-normal data, and distribution-free data.
  • Acceptance sampling for process validation – RQL, AQL, alpha & Beta risks.
  • Measurement system analysis – Type 1 Gage Study, GR&R (crossed and nested), Attribute Agreement Analysis.
  • Linear regression analysis.
  • Introduction to binary logistic regression analysis.
  • Introduction to product reliability – overview, reliability estimation etc.

    Content includes

    Day 1: Capability Analysis
    1. Review Minitab Environment
    2. Review key Statistical Concepts
      • ü CLT, Central Tendency and Dispersion
    3. Life-time Probability Distributions
      • ü Normal, Lognormal, Exponential and Weibull distributions:
            • § Visualize distribution properties – pdf, cdf, hazard function etc.
              § Use distributions to predict product failure.
        ü Learn how to use Minitab’s Individual Distribution Identification tool to find a distribution which best describes your data.
    4. Review of Control Charts
      • ü IMR Charts
        ü Xbar-R Charts
    5. Assessing Process Capability
      • ü Understand process capability assumptions.
        ü Understand capability metrics – Cp, Cpk, Pp, Ppk and Cpm.
        ü Learn how to use Minitab’s Capability Sixpack to assess assumption of normality.
        ü Learn how to analyse the capability of a stable process.
        ü Learn how to analyse capability of a non- normal process.
        ü Get an overview of non-parametric distribution methods.
Day 2: Measurement Systems Analysis (MSA) and Sampling for Validation
  • 1. Acceptance Sampling by Attributes
    • ü Review of Binomial Distribution
      ü Review of Hypergeometric Distribution
      ü Understand concepts and importance of acceptance sampling.
      ü Understand key indices such as AQL, LTPD/RQL, AOQL, OC Curve.
      ü Understand the risks associated with sampling – alpha and beta risks.
      ü Learn how to use Minitab to define a Zero Acceptance sampling plan for validation.
    2. Measurement Systems Analysis (MSA)
    • ü Understand key terminology – accuracy, precision, stability, linearity, repeatability, reproducibility etc.
      ü Learn how to use Gage Study Type 1 to determine capability and bias of your measurement system.
      ü Use Gage R&R (Crossed) to assess:
          • § how well your measuring system can distinguish between parts being measured.
            § whether operators measure consistently.
            § Understand AIAG acceptability guidelines.
            § Understand the importance of “Gaurdbanding”.
      ü Learn how to conduct Gage R&R (Nested) study.
Day 3: Regression, Stability and Medical Device Reliability Analysis
  • 1. Regression Fundamentals
    • ü Understand key concepts and terms – response and regressor variables, least-squares method, residuals, coefficient of determination(R-sq) etc.
      ü Understand the difference between regression and correlation.
      ü Understand the difference between simple and multiple linear regression models.
      ü Understand data considerations for regression analysis.
      ü Understand the effect of multi-collinearity on your model.
      ü Learn when and how to use the following Minitab regression tools:
          • § Fitted Line Plot
            § Fit Regression Model
      ü Understand how to analyse regression outputs from Minitab – plots, ANOVA, Model Summary, etc.





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    2. Introduction to Medical Device Reliability
    • ü Overview of reliability terminology.
      ü Estimating reliability of implantable devices.
      ü Reliability Demonstration Test Plans.
      ü Regression with Life Data.
    • End of Course Quiz

Who should attend

Personnel from Manufacturing, Quality, R&D, Product Design, Inspection & Test, Process Validation etc.