Kavanaugh - Statistics for Business: Minitab Workshops

Minitab Workshops


9 Minitab graphs - click for Introduction to Minitab and Graphical Analysis Workshop MINITAB Statistical Software is the ideal package for Six Sigma and other quality improvement projects. From Statistical Process Control to Design of Experiments, it offers you the methods you need to implement every phase of your quality project, along with features like StatGuide and ReportPad that help you understand and communicate your results. No package is more accurate, reliable, or easy to use.

Each hands-on workshop is usually 1 day long; all may be customized for your industry or organization.

Process Control and Capability Workshop with Minitab.


Optional topics are special additions to standard Minitab training workshops, and extend the course by about 1/2 day. All Minitab training workshops use the latest, current version of Minitab, and authorized Minitab training materials.

Courses with no prerequisites:


Courses for Service Quality:

    Run Chart - click for Basic Statistics for Service Quality Workshop
  • Basic Statistics for Service Quality (1 day) - one and two sample t-tests, proportion and Chi-Square tests, regression, analysis of variance. Prerequisite: Introduction to Minitab

  • Statistical Quality Analysis for Service Quality (1 day) - Measurement System Analysis (MSA), Statistical Process Control (SPC), Capability Analysis. Prerequisites: Introduction to Minitab, Basic Statistics

  • Service Quality: Advanced Topics (1 day) - General Linear Model, Binary Logistic Regression, Factorial Designs, Time Series. Prerequisites: Introduction to Minitab, Basic Statistics, Quality Analysis

Courses for Manufacturing Quality:

    BoxPlot - click for Minitab Basic Statistics for Manufacturing Workshop
  • Basic Statistics for Manufacturing Quality (1 day) - one and two sample t-tests, proportion tests, correlation and regression, analysis of variance, multiple regression (optional). Prerequisite: Introduction to Minitab

  • Statistical Quality Analysis for Manufacturing Quality (1 day) - Measurement System Analysis (MSA), Statistical Process Control (SPC), Capability Analysis. Prerequisites: Introduction to Minitab, Basic Statistics

  • New! Advanced ANOVA and Regression (1 day) - Multiple and Stepwise Regression; GLM with Covariates, Nesting and Random Factors; MANOVA; Binary and Nominal Logistic Regression. Prerequisites: Introduction to Minitab, Basic Statistics, Quality Analysis


  • Design of Experiments


      Contour Plot visualizing model after Full Factorial Designed Experiment - click for minitab Factorial Designs workshop

    • Factorial Designs (1 day) - Design of Factorial Experiments; Normal Effects Plot and Pareto of Effects; Power and Sample Size; Main Effect, Interaction, and Cube Plots; Center Points; Residual analysis; Fractional Factorial Designs; Overlaid Contour Plots; Multiple Response Optimization. Prerequisites: Introduction to Minitab, Basic Statistics


      Contour Plot visualizing model after Central Composite Designed Experiment - click for larger image

    • Response Surface Designs (1 day) - Central Composite and Box-Behnken Designs, Calculations for Steepest Ascent, Overlaid Contour Plots, Multiple Response Optimization. Prerequisite: Introduction to Minitab, Basic Statistics, Factorial Designs


      Contour Plot of quadratic model fitted after Mixture Simplex design for 3 components - click for larger image

    • Formulations and Mixture Designs (1 day) - Simplex Lattice and Centroid Designs, Upper and Lower Constraints, Extreme Vertices, Pseudocomponents, Response Trace Plots. Prerequisites: Introduction to Minitab, Basic Statistics, Factorial Designs


      DOE in Practice: Overlaid contour plot to show best settings for 4 factors in a power-wash process, to achive maximum cleaning for steel and brass, and minimum cost (after response surface expt) - click for larger image

    • DOE in Practice (1 day) - ANCOVA, Unbalanced Designs, Split-Plot Designs, Multiple Response Optimization, Binary Logistic Regression. Prerequisites: Introduction to Minitab, Basic Statistics, Factorial Designs


  • Reliability

    • Introduction (1 day) - Parametric and Nonparametric Distribution Analysis, Estimation and Demonstration Test Plans, and Growth Curves. Prerequisites: Introduction to Minitab, Basic Statistics

    • Advanced Reliability (1 day) - Probit Analysis, Regression with life Data, Accelerated Life Testing and Test Plans. Prerequisites: Introduction to Minitab, Basic Statistics, Introduction to Reliability

  • Advanced Modeling and Design Tools for Quality Improvement in Manufacturing (5 days) - 5 courses in 1: Advanced ANOVA and Regression, Response Surface Designs, DOE in Practice, Reliability 1, Reliability 2. Prerequisites: Introduction to Minitab, Basic Statistics, Quality Analysis, Factorial Designs

See more course descriptions on Minitab's Course Selection Guide, and also sample Minitab training materials (links open in new windows).

See also Minitab - Free Downloads.

Custom workshops may also be offered at your site.

Each participant receives an official Minitab workbook and data files, as well as a certificate for Recertification Units for completion of this workshop.

See comments from previous participants in C.F. Kavanaugh's workshops!