Statistics with Minitab (incl. Gauge R&R and Sampling)

This course is available for virtual delivery – please contact us for further details (1 face-to-face training day typically translates into 2 to 4 virtual sessions per day, this is determined by the specific course content. Number of sessions and specific session times will be confirmed in advance of course delivery.) Note: This version of the three-day course includes Gauge R&R and Acceptance Sampling.  There are two alternative versions; Statistics with Minitab (incl. Capability Analysis), which includes Capability Analysis, Control Charts and Hypothesis Testing, and Statistics with Minitab (Incl. Regression Analysis and Stability), which includes Regression Analysis, Stability Studies, and Power of the Test.  These alternative brochures are available on request.  The tutors are available to provide more details on the various alternatives, and to discuss special programmes to meet specific customer requirements. Summary of content of this course
  • Minitab software
  • Introductory statistics
  • Capability analysis
  • Control charts
  • Gauge R&R
  • Acceptance sampling – including use of Minitab to design sampling plans
IT IS NOT POSSIBLE TO UTILISE SAMPLE DATA WITHOUT STATISTICS. Much time and effort is devoted to the collection of data in industry, for example; quality control measurements, data collected for validation of manufacturing processes, incoming and outgoing inspection data, data produced in the development of products in R&D, etc. It is not possible to get value from this data without using statistics.  Many people who use statistical tools such as Statistical Process Control, Design of Experiments, sampling standards, gauge R&R, and other applications don’t understand the underlying statistics.  This course is intended to provide that essential understanding so that people will choose the appropriate statistical tools for data analysis and understand the outcome of the analysis. There are several brands of reasonably priced computer statistical software packages available to assist in the application of statistics, and most people with a reasonable background in maths (example, pass leaving certificate level) can be readily trained to use this software so as to utilise data for continual process improvement, and better decision making. Minitab software will be used throughout the training course.  Delegates will be trained to use Minitab to undertake the analysis that will be met in the Programme set out below.  Where the course is presented in-company the programme can be modified to include specific statistical applications.

Delivery Mode

  • Public Virtual

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  • Customised

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Course Code

What's covered?

Day 1

  • Outline of the applications of statistics such as Statistical Process Control, Design of Experiments, Sampling, and the relationship with the underlying statistics.
  • Explanation of how statistics are used to obtain valuable information on processes    from sample data
  • Description of statistical terms including population, parameter, random sample, expected value
  • Types of data – continuous (variables) and discrete (attributes) data
  • Construction of a histogram and explanation of the meaning of frequency distributions, cumulative frequency distributions, measures of dispersion and central tendency
  • Graphical methods – box-and-whisker plots, scatter plots
  • The normal distribution – testing for normality – Anderson Darling and Ryan Joiner tests
  • Normal and Weibull probability plots
  • Dealing with non-normal data – Box-Cox and Johnson transformation, distribution fitting using Weibull, Smallest Extreme Value, Largest Extreme Value, etc.
  • Capability analysis – CPk/Ppk and percent out of specification

Day 2

  • Central limit theorem and sampling distribution of the mean
  • Control charts for variables
  • Explanation of the role of control charts in capability analysis and explanation of why there is a difference between Cpk and Ppk
  • Carrying out a Gauge R&R (Repeatability and Reproducibility) study. Explanation of how to set up and undertake the study. Classroom exercise with Minitab calculating and analysing the results of a R&R study using both the ANOVA and the Average and Range method. Explanation of the general rules of acceptability for R&R in a measuring system.
  • How to improve the performance of the measurement system when the Gauge R&R is excessive.

Day 3 – Acceptance Sampling for Attributes and Variables

  • Explanation of sampling inspection system terminology including; acceptance quality limit (AQL), LTPD (Lot tolerance Percent Defective), RQL (Rejectable Quality Level), inspection levels, attributes, variables, probability of acceptance, operating characteristic (OC) curve, random sampling
  • Choosing sample sizes for validation studies and inspection
  • The correct approach to determining the acceptance quality limit (AQL)
  • Identifying the appropriate inspection level and sample sizes in the sampling tables, such as ANSI Z 1.4
  • Exercises in the use of the sampling tables selecting the appropriate sampling plans for inspection by attributes and variables.  How the tables are used to decide on acceptance or rejection of a lot
  • Switching Rules and how they are used
  • Using Minitab software to design specific sampling plans

Who should participate?

  • Validation engineers and scientists
  • Process engineers
  • All personnel involved in quality control including personnel choosing sample sizes for incoming and outgoing inspection

A prior knowledge of statistics is not required, but participants should understand mathematical principles; for example, Leaving Certificate maths.

What will I learn?

Participants achieve the following learning outcomes from the programme;

  • Undertake statistical analysis using Minitab software
  • Calculate and interpret capability analysis – CP/Cpk and PP/Ppk
  • Construct and use control charts
  • Undertake and interpret  Gauge R&R Studies
  • Choose sample sizes for validation work and inspection

Who are the tutors?

Albert Plant

With a background of twenty year’s practical experience, Albert Plant is Ireland’s leading trainer and consultant in the application of statistics in manufacturing, industry and business. Combining Degrees in Engineering and Statistics, he brings a unique blend of a deep understanding of manufacturing technology with expertise in all aspects of statistical and data analysis to his training courses.
Attendees on Albert’s training courses include people, many with PhDs, undertaking the most advanced research and development in pharmaceuticals, medical devices, nanotechnology and other leading-edge specialities, who require statistical skills to understand the outcome of their research work.

Many customers require that the training courses be customised and Albert has developed a high level of expertise in meeting this requirement. His In-House courses typically incorporate company data and both the length and content of the courses are agreed in advance with the customer to meet very specific needs.

Minitab is the leading brand of general purpose statistical software and Albert has a twenty year association with Minitab. He contributed to the development of the Acceptance Sampling module in Minitab and, as a volunteer tester for new versions of the software, he was involved in the testing of version 17 prior to its release in 2014. He also has a high level of expertise in other statistical software, such as Design Expert, which he uses in Design of Experiments.

Grainne Heneghan

Grainne is a highly experienced Continuous Improvement and Lean Six Sigma Master Black Belt with over 20 years’ experience in the global IT industry.

Grainne has 11 years’ experience of developing and delivering training and working with Quality and Lean Six Sigma methodologies, tools and techniques, with focus on improving processes, reducing waste and decreasing costs for teams and organisations. She is resourceful and adaptable and uses strong communication and interpersonal skills along with metrics, data and logic to ensure that teams achieve their goals and successfully implement change within their organisations.

Grainne has trained and coached many Yellow, Green and Black Belt students to successful certification. Along with many years training in a traditional classroom style, she spent 4 years training using an online Virtual Classroom while working at Hewlett Packard. This included virtual training in Minitab and Statistical Concepts alongside softer skills such as Brainstorming for Root Cause Analysis and How to Complete FMEAs. She likes to blend her efficient organising skills and strong attention to detail with a softer empathetic and practical approach to projects. She is open-minded with a holistic and positive approach when working with teams.

Grainne enjoys working with teams and training students to use and to get the most from tools such as Minitab, and other statistical methods and techniques.

How do we train and support you?

In-House Courses
For In-House courses the tutor will contact you in advance to discuss the course programme in more detail in order to tailor it specifically for your organisation.

Course Manual
Delegates will receive a very comprehensive course manual written by the course tutor.  The manual incorporates many exercises that the participants will complete during the training course, and these worked examples, along with the relevant graphical material, will serve as a useful reference when the participants return to their workplace.

What software do we use?

Minitab will be demonstrated as part of the training so if delegates are in a position to bring along a laptop with Minitab 17, 18 or 19 pre-loaded (free 30 day trial of Minitab 19 available on they can utilise this during the training.  If delegates don’t have a laptop, they will still benefit greatly from the programme.

Grainne Heneghan


Grainne Heneghan

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