Design and analysis of experiments
This is a work in progress. It will be completed by the end of the day on 04 January 2016.
Learning outcomes
- Learn the basic terminology of experiments: responses, factors, outcomes, real-world units vs coded units, confounding
- Analyze and interpret data from an experiment with 2, 3 or more factors by hand
- Use R to do the analysis, and interpret the various plots, such as the Pareto plot
- Analyze and interpret data from an experiment with 3 or more factors
- Recognize when to use a fractional factorial, to go mostly the same results as from a full factorial
- Understand when to use screening experiments
- Use the concepts of response surface methods to systematically reach an optimum
- What you can do when you make a mistake, or hit against constraints.
Extended readings/practice
- R
Resources
Class notes 2015- Class notes 2014
- Textbook, chapter 5
- Quizzes (with solutions): attempt these after you have watched the videos
Tasks to do first Quiz Solution Watch videos AAA Quiz Solution Watch videos BBB Quiz Solution Watch videos CCC Quiz Solution Watch videos DDD Quiz Solution Watch videos EEE Quiz Solution Watch videos FFF Quiz Solution
Class videos from prior years
Videos from 2015
| 02:59 | Download video | Download captions | Script |
Videos from 2014
Videos from 2013