What is it called, when more than one
independent variable works in an
experimental situation? *
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By far the most common approach to including multiple independent variables in an experiment is the factorial design. In a factorial design , each level of one independent variable (which can also be called a factor) is combined with each level of the others to produce all possible combinations.
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Answer:
By far the most common approach to including multiple independent variables in an experiment is the factorial design. In a factorial design , each level of one independent variable (which can also be called a factor) is combined with each level of the others to produce all possible combinations
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