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 ...

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 ...

Anyone who has washed dishes can tell you that a lot of stuff clings to dirty plates, glasses, and silverware after a meal. And anyone who has developed an automatic dishwasher detergent to clean the ...

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 ...

The Defense Information System Agency's Joint Interoperability Test Command, or JITC, here recently orchestrated two activities as part of the collaborative partnership known as "Team Huachuca." JITC ...

Educational Technology & Society, Vol. 16, No. 1, Innovative Technologies for the Seamless Integration of Formal and Informal Learning (January 2013), pp. 380-391 (12 pages) ABSTRACT The objective of ...

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 ...

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 ...

Formulations are complex products with multiple components and phases. Also, we usually need to balance several performance properties to deliver the optimum product. No wonder that the traditional ...

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 ...