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3 X 2 Factorial Design. Other designs such as Plackett-Burman or a General full factorial design can be chosen. In principle factorial designs can include any number of independent variables with any number of levels. Two-level factorial versus one-factor-at-a-time OFAT. A notation such as 20 means that factor A is at its high level 2 and factor B is at its low level 0.
Namely Pressure factor X 1 Table speed factor X 2 and Down force factor X 3 each at a high and low setting on a production tool to determine which had the greatest effect on product uniformity. Below is a hypothetical example of a 2 3 factorial experiment to illustrate the application of factorial experiments in improving processes. 2 k Factorial Design 3-factor interaction. It can be expressed as a 3 x 3 x 3 3 3 design. In this experiment the process engineers goal is to determine how the yield of an adhesive application process can be improved by adjusting three 3 process parameters. Click to see full answer In this regard what is a 3x4 factorial design.
In this 32 factorial design there is an interaction effect between the drug dosage and the complexity of the memory task.
This might be for example a Drug treatment with levels Control Low high doses columns and Diet with three levels of a food additive represented by the three colours. The top part of Figure 3-1 shows the layout of this two-by-two design which forms the square X-space on the left. It can be expressed as a 3 x 3 x 3 3 3 design. A full factorial 2 3 design with 2 replications. A factorial design is one involving two or more factors in a single experiment. The researchers note that the effects of the memory drug are more pronounced with the simple memory tasks but not as apparent when it comes to the complex tasks.