Statistics with Minitab (incl. Capability Analysis)

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.

Delivery Mode

  • Public
    Programmes

    Dates
    23 - 27 Sep 2024
  • Virtual
    Training
    Programmes

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  • Customised
    In-Company
    Programmes

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SnapshotSnapshot

Course Code
CPI010

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
  • 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?

  • 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?

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?

Albert Plant

With a background of thirty year’s practical experience, Albert Plant is Ireland’s leading trainer and consultant in the application of statistics.  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 data analysis to his training courses.  Attendees on Albert’s training courses include people, many with PhD’s, 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. Albert has used Minitab in his training and consultancy work for more than 25 years.  He proposed to the Minitab company that they introduce a module in Acceptance Sampling, and he contributed to the early development of the module, which was launched with new versions of the software in 2006.  Albert also has 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 many years of 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 20 or 21 pre-loaded (free 30 day trial of Minitab 20 and 21 available on www.minitab.com) they can utilise this during the training. If delegates don’t have a laptop, they will still benefit greatly from the programme.

Grainne Heneghan

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

Grainne Heneghan

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

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