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Explaining Power Using Two-Level Factorial Designs

Summary: An alternative explanation of statistical power based on two-level factorial designs is presented. Scientists with little formal training in statistics will find the explanation more meaningful because it is expressed in terms of estimation. Power is used to measure how well a design will be able to provide reliable parameter estimates. An important application of power is to determine the number of runs that will be required to detect an effect of a given magnitude with a specified reliability (chance of detection).

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  • Topics: Statistics, Design of Experiments
  • Keywords: Statistics,Factorial experiments,Measurement and control
  • Author: Watts, Donald G.
  • Journal: Journal of Quality Technology