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Design of Experiments. Design of Experiments (DOE) is a study of the factors that the team has determined are the key process input variables (KPIV's) that are the source of the variation or have an influence on the mean of the output. A DOE (or set of DOE's) will help develop a prediction equation for the process in terms of Y = f(X1,X2,X3,X4,....Xn).
In a class the data members (variables) are of two types, * static variables. * instance variables (non static) In case of instance variable one separate copy of value will be available for each object. For static variables there will be only one copy of value for all the objects. Example: class student.