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Understanding \(2^k\) Factorial Design by nelson.rodriguezm6142 is a document available to read on EtoBox.

The document discusses 2^k factorial designs, which are screening designs used to explore many factors that may impact an experiment. Each factor has only two levels (high and low). The simplest case is a 2^2 design with two factors A and B. Effects are estimated as the difference in means between high and low levels of each factor. Yates notation is introduced to denote the combinations of high and low levels, such as "a" for high A low B. The goal of screening designs is to determine which factors most in

Author
nelson.rodriguezm6142
Language
EN