Variation is present in every experiment. Learn about DOE techniques to control variation, and to maximise data quality. Commonly used experimental designs are discussed as well as the statistical data analysis tools.
Introduction to the Design of Experiments (DOE)
Course Details
Learning Objectives
Upon completion of this module, participants will be able to:
 Understand the importance of statistical design of experiments and benefits in R&D
 Learn the experimental designs most widely used in practice
 Choose an appropriate experimental design based on the study objectives
 Construct and implement the design selected
 Analyze the data collected based on the design used and its underlying assumptions
 Interpret the results of the experiment and report the conclusions
Target Audience
This module is aimed at all scientific staff who wish to design and implement efficient studies and experiments and who must make decisions based on the data collected.
Prerequisite
Participants should have an excellent working knowledge of the following topics:
 Calculation & interpretation of centrality and dispersion indicators : mean, median, standard deviation, standard error, coefficient of variation, quartiles, interquartile range
 Use of Boxplots
 The hypothesis testing approach
 Confidence interval and pvalues
 α and β risks and their impact on the scope and the precision of the results
 Power and sample size
If this is not the case, participants must attend the training module Fundamental Tools in Statistics for Research.
Course Outline
 Sources of Variation
 Why Design an Experiment?
 Measurement Variability and Error
 The Notion of Experimental Unit
 Controlling and Minimizing Variability: Replication, Randomization, Blocking and Controls
 Integrating Experimental & Budgetary Constraints into the Experimental Design
 Constructing Experimental Designs
 TwoSample Designs (Complete Randomized Design, Paired Comparison Design)
 Factorial Designs for more than Two Groups (Unreplicated and Replicated)
 Statistical Analysis Tools
 Exploratory Analysis
 Student's TTest (Independent and Paired TTest)
 Analysis of Variance (ANOVA) / FTest
 The Notion of Interactions between Factors
 Locating Statistical Differences with Multiple Comparison Techniques
 Understanding and Interpreting Results from Real Data
Practical Info
Recommended Duration: 2 days
Course Materials:
Course Reviews

posted by Giovanna Sebastiani
The course served to strengthen my understanding of concepts that I thought I knew. Furthermore, it provided me with the necessary tools to plan more powerful experiments from a statistical point of view. The course was well structured and quite enjoyable!

posted by Heather Averett
This was a very useful class, Taught in a nononsense manner so everyone could apply the concepts to their research and walk away with practical knowledge for their jobs. Thank you. I found the class to be very beneficial and concisely taught.

posted by Matt Busch
Nothing short of brilliant! There are a million things we could do, hundreds of things we should do, and only a handful of things we can do in a year. How do you decide which will have the greatest impact? Learn it here! Measuring the impact of your actions isn't always easy. Measuring the combined impact of your actions and their interactions is even harder. This course makes it easy and can easily be applied no matter what industry you are in.

posted by Dana Coombs
This was a good introductory course to DOE. It was just the right amount of material for a 2 day class and focused more on application than equations. A background in basic descriptive and inferential statistics is needed.

posted by Randall Maxwell
This was a good course in understanding the basics of DOE. I liked the focus on concepts in data analysis.

posted by Zoltan Bodor
I have found that the "Introduction to the Design of Experiments" course is essential for anyone who wishes to apply a disciplined approach to practical applications in a product development or design applications. The program appropriately covered the required fundamentals by working through practical examples. The material was very well organized and due to having a small group all questions relating to concepts were very well explored. The instructor was very helpful and well acquainted with the subject matter.

posted by Roger L. Roy
DOE helped me to understand the different sources of error and variability as well as the tools available to minimize variability  repetition, randomization, blocking and controls. I now have a much better understanding of simple experimental designs and more complex factorial designs  along with the corresponding statistical tools  ttest, and Analysis of Variance (ANOVA) Ftest. The breaking down of the components of variability when performing an ANOVA was of great benefit. Moreover, the notion of an interaction between two factors and how to test multiple comparisons were also very useful. The XLSTAT addin to Microsoft Excel provides powerful and efficient statistical tools that allowed me to obtain faster, more detailed, reliable and accurate results than I have seen with other statistical packages.

posted by Roger L. Roy
DOE helped me to understand the different sources of error and variability as well as the tools available to minimize variability  repetition, randomization, blocking and controls. I now have a much better understanding of simple experimental designs and more complex factorial designs  along with the corresponding statistical tools  ttest, and Analysis of Variance (ANOVA) Ftest. The breaking down of the components of variability when performing an ANOVA was of great benefit. Moreover, the notion of an interaction between two factors and how to test multiple comparisons were also very useful. The XLSTAT addin to Microsoft Excel provides powerful and efficient statistical tools that allowed me to obtain faster, more detailed, reliable and accurate results than I have seen with other statistical packages.

posted by Ricky Ghilarducci
Natalie, thank you so much for being such a great teacher. The Stats/DOE courses were absolutely brilliantly put together and taught. I learned so much in 3 days and feel so much more confident in my work environment now.