Statistics with Minitab (Incl. Regression Analysis and Stability)

Note: This version of the three day course includes Regression Analysis and Stability Testing. 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.  Gauge R&R and Sampling), which includes Gauge R&R and Acceptance Sampling.  These alternative brochures are available on request.  The tutors are available to discuss the differences between these alternatives, and also 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 do actually 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

  • Customised
    In-House
    Programmes

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SnapshotSnapshot

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.

Day 2

  • Central limit theorem and sampling distribution of the mean
  • Calculation of the confidence interval for the mean in variables and attribute data.
  • Hypothesis testing – tests for means, variances and proportions – Z-test, t-test, 2-sample t-test, F-test, meaning of significance level
  • Meaning of the P-value in hypothesis testing and how the rules for assessing P are derived
  • Type I and Type II error – difference between statistical and practical significance
  • Sample sizes for hypothesis testing – the effect on Power
  • Goodness-of-fit tests

Day 3

  • Analysis of variance (ANOVA) – analysis of a designed experiment illustrating the ANOVA – using Tukey’s multiple-sample comparison to compare population means
  • Simple and multiple linear regression and correlation.  Calculation of the regression equation. Hypothesis testing of the regression statistics.  Using the regression model for estimation and prediction.  R-squared and R-squared adjusted – the difference between these two statistics.
  • Stability studies – analyzing the stability of a product over time and determining the product's shelf life. Using Minitab to fit a linear model to represent the relationship between the response variable, the time variable, and an optional batch factor.

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
  • 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
  • Determine sample sizes for statistical tests
  • Model data using regression analysis

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.


Dick Delaney

Dick Delaney, a Fellow of the Academy of Biomedical Science, started his career in Clinical Chemistry working in a number of hospitals in Ireland before being seconded to the World Health Organization in Africa.  In 1980 he moved to Galway Mayo Institute of Technology as lecturer and course co-ordinator in Medical Laboratory Science. In 1992 Dick completed an MSc in Applied Statistics and has since been involved in lecturing on the statistical aspects of Quality Management to Diploma and Degree students.  Through links with the pharmaceutical and medical device industry he has been responsible for a number of projects in process control and improvement, uncertainty estimation and SPC training.  One of Dick’s main strengths is his ability to explain complex statistical concepts in simple everyday language. He believes in keeping the theory to a minimum, the emphasis being on practical applications using statistical software.

Dick has extensive experience in the quality tools involved in problem solving and working in teams to resolve.


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. 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 tutors.  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 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
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