Statistics with Minitab (Incl. Regression Analysis and Stability)

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.

• 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.

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

• 

  Albert Plant

  With a background of thirty year’s practical experience, Albe...

  Read More

• 

  Grainne Heneghan

  Grainne is a highly experienced Continuous Improvement and Lean...

  Read More

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.

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.