Statistics with Minitab (incl. Capability Analysis)

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Note: This course includes Capability Analysis, Control Charts and Hypothesis Testing.  There are two alternative versions; Statistics with Minitab (Incl. Gauge R&R and Sampling), which includes Gauge R&R and Acceptance Sampling, and Statist... Read More

Note: This course includes Capability Analysis, Control Charts and Hypothesis Testing.  There are two alternative versions; Statistics with Minitab (Incl. Gauge R&R and Sampling), which includes Gauge R&R and Acceptance Sampling, 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 explain the difference between these options and to discuss special programmes to meet specific customer requirements.

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 both the main menus and the Assistant in 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.


What's covered?

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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
  • Calculation of the confidence interval for the mean in variables and attribute data.
  • Commencement of Hypothesis testing – tests for means, variances and proportions – Z-test, t-test, 2-sample t-test, Paired test, F-test, meaning of significance level

Day 3

  • Hypothesis testing continued from day 2
  • Meaning of the P-value in hypothesis testing and how the rules for assessing P are derived
  • Analysis of variance (ANOVA) – analysis of a designed experiment illustrating the ANOVA – using Tukey’s pairwise multiple-sample comparison to compare population means

Who should participate?

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  • Engineers, technicians, laboratory, R&D, and scientific staff
  • All personnel involved in quality control
  • All personnel who have a role in analyzing and understanding manufacturing and business data
  • Inspection staff
  • Personnel who use process improvement techniques in their work
  • People planning to attend Six Sigma Black Belt training courses
  • People studying for MBA’s and other examinations involving statistics

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

What will I learn?

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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
  • Select appropriate statistical tests such as two-sample t, F-test, ANOVA, etc. for comparing data means and variances
  • Calculate and interpret confidence intervals on population parameters

Who are the tutors?

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How do we train and support you?

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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?

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Minitab will be demonstrated as part of the training so if delegates are in a position to bring along a laptop with Minitab 20 or 21 pre-loaded (free 30 day trial of Minitab 20 and 21 available on they can utilise this during the training. If delegates don’t have a laptop, they will still benefit greatly from the programme.

Share this Programme


Course Code
3 training days
Public Price
Virtual Training: €995

(includes course documentation)

Delivery Mode
This programme is delivered by Classroom, Virtual Training, or In-Company training
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What Our Learner's SayWhat Our Learner's Say

I really enjoyed the course. I liked how we learned about the foundations 1st and then we saw how to apply them in Minitab. It was quite easy to see where the information is used and how it applies to various scenarios.
Nicole P April 22, 2024
The lecturer and course was very strong from a statistics perspective but more focus on Minitab would have made the course more applicable to industry
Collette K April 22, 2024
Good course, maybe a bit too indepth for me personally at times but very helpful for understanding what the data and graphs were indicating.
Sean L February 26, 2024
Overall was very pleased with the training course. Although I didnt have a very advanced knowledge of the subject of statistics, the information was transferred in a very pleasant, efficient and professional manner. I was very pleased with how the 3 day training course went.
Kristof R February 12, 2024

Statistics with Minitab (incl. Capability Analysis)

Duration: 3 days **
  • 23 - 27 Sep 2024
    Location: Virtual Book Date

Statistics with Minitab (incl. Capability Analysis)

Duration: 3 days
Virtual Training: €995
  • 23 - 27 Sep 2024
    Delivery: Virtual Training
    Location: Virtual
    Book Date