Why is factorial design with two or more independent
variables can be difficult to interpret?
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Why is factorial design with two or more independentvariables can be difficult to interpret?
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Factorial design experiments include the interaction effect between the variables So when you are using 2 independent variables say X and Y in your experiment there is only one
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