Der Vortrag „Design of Experiments“ von Grey Campus ist Bestandteil des Kurses „Six Sigma Green Belt Training“. Der Vortrag ist dabei in folgende Kapitel unterteilt:
The p values for the variables denotes whether
Residual error indicates
Which of the below terms help us to find out if we have left out a critical X variable?
The pre-requisite for analyzing a DOE is
Main effects plot gives us
The deciding criteria for understanding the main effect plot is
Interaction plot gives us
A negative value for a coefficient indicates
If the absolute value of a coefficient is 2345, it means that
Experiments should be run in the following order
The number of experiments in a two level design is determined by
DOE is used after
Which of the following tools helps us to understand the interaction effects of variables?
How many experiments will need to be conducted when you have 5 variables and 2 levels each, with no replication?
How many experiments will need to be conducted when you have 6 variables and 2 levels each, with replication?
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