Design of Experiments Fundamentals

Design of Experiments (DOE) is a procedure to planning, designing and analysing experiments to effectively and efficiently draw valid and statistically sound conclusions.

This course aims to:

  • Familiarise delegates with DOE principles and terminology (randomisation, replication, blocking, factors, effects, interactions, ANOVA, hypothesis testing)
  • Provide statistical background theory in order to understand DOE process and development
  • Demonstrate the steps of a full factorial experiment design in order to optimise response to key factors
  • Analysis of results using hypothesis test plots and regression modelling
  • Explain the purpose of non full factorial designs

By the end of the course, delegates should be able to:

  • Define key terminology (factors, effects, interactions, anova, hypothesis testing)
  • Explain key principles (randomisation, replication, blocking,)
  • Calculate Coefficients of a simple linear regression model
  • Describe the steps in designing a full factorial experiment
  • Create a coded 3 factor 2 level full factorial design matrix
  • Perform a hypothesis test
  • Perform an analysis of variance
  • Interpret common DOE plots (interaction effects, cube plots, Normal Probability Plots, Contour Plots, Pareto Charts, Optimal Solutions)
  • Justify the choice of experiment design approaches


Public & On Site Courses


Public & On-Site Courses: 1 Day. The course commences at 9.00am and finishes approximately 5.00pm.

Course Fee

Public Course: £500, includes lunch and refreshments.

On-Site Course: Please complete the form opposite or contact us for onsite training prices, including discounts for multiple delegates and courses


Online Courses


Online Courses: Split into 2 sessions 3 hour slots.

Course Fee

Online Courses: Please complete the form opposite or contact us for online training prices, including discounts for multiple delegates and courses.


Registration / Further Information

Please contact us to discuss if this course is suitable for your requirements and to book your place(s). Simply:

We can also run this course at your offices as a company-dedicated training session on a date of your choosing. Please indicate when contacting us if you are interested in this option.

Who Should Attend?

This course is intended as an introduction to the subject, for people that are looking to incorporate Design of Experiment approaches into their engineering analysis. The course assumes no prior knowledge of the analysis itself, but delegates should be familiar with statistical approaches and OFAT experimentation.

Public Course Venue

Wilde Analysis Training Facility
Whitworth House, 28 Charles Street

Course Agenda
  • Introduction
  • What is DOE
  • Terminology
  • Basic Principles
  • General full factorial designs
  • Analysis Process
  • Building a Design Matrix
  • Recording Responses
  • Analysis Methods
  • Plots
  • Regression Modelling
  • Hypothesis Testing
  • Analysis of Variance
  • Alternative Designs
  • Common alternative Designs
  • Design Resolutions


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