Sound experimental design is of vital importance when conducting any scientific experiment. Choices made at the design stage have the potential to drastically impact the results of any study. A strong ...

How can you determine if a new process performs better than the original? How can you be confident that a new drug or vaccine will be safe and effective? How can you best determine which market(s) to ...

Modern analytical methods and production processes (manufacturing and research) are complex, with many different factors affecting the outcome. In order to be competitive, companies need to minimize ...

This is a core course that provides essential grounding in statistical inference and modelling relating to science and food technology. Students will learn how to design, conduct, and analyse the ...

Design of experiments enables engineers to demonstrate or understand a process while providing information required for achieving regulatory compliance. A valuable method for predicting process ...

The design of a two-color microarray experiment can be considered as having three layers. Figure 1 shows an example of an experiment that compares the effects of two treatments—A and B—on ...

Data collection is sometimes performed without considering the effect poorly collected data has in the strength of statistical conclusions. When researchers properly design an experiment, they are ...

This course educates participants in the Lean Six Sigma method of Design of Experiments (DOE), which identifies factors most important to the success of an improvement project. This analytical ...