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Sample Size Estimates for 2k-p Designs with Binary Responses

Summary: When the number of defectives (nonconforming products) is to be used as the response in two-level factorial and fractional factorial experiments, it is helpful to have an estimate of the sample size necessary for detecting a specific change. In this article we provide an easy-to-use table for standard 8, 16, and 32 run two-level factorial experiments that serves as a guideline for the necessary sample sizes to detect different changes in the average quality level. Examples of the use of the table are also provided.

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  • Topics: Statistics, Design of Experiments
  • Keywords: Statistics,Transformation,Factorial experiments
  • Author: Bisgaard, Soren; Fuller, Howard T.
  • Journal: Journal of Quality Technology