Design and Analysis of Experiments
Conducting cost-effective experiments based on good design principles is fundamental to many areas of scientific research. In this course participants will learn to use resources effectively and to plan well-designed experiments, so as to obtain clear results and a high degree of precision.
During the course the concepts and principles of good experimental design will be discussed, together with associated data analysis methods. Computer based practicals with a choice from GenStat, Minitab and Stata will be used to analyse data from different types of experiments. Emphasis is placed on interpretation of computer output to help answer questions posed by research objectives.
Who Should Attend?
Scientists, researchers, psychologists and industrial experimenters who design their own experiments and/or analyse experimental data. Participants should be familiar with the analysis of variance (ANOVA).
How You Will Benefit
Participants will gain intuition and confidence in the statistical aspects of sound experimental design and learn how to analyse data arising from a variety of different designs.
What Do We Cover?
Choice of Software
Practical work may be done in: Genstat, Minitab, Stata
Note: For practical work, participants must bring their own laptop with a fully licensed version of their chosen software.