The Advantages of Continuous Measurements over Pass/Fail Data

Abstract

This article provides a justification for continuous measurements being more informative than pass/fail data. Namely, more information is provided for the same sample size or a smaller sample size is required for the same information. In the article, inference of the conformance probability, the probability of measurements meeting specifications, is considered. It is shown that continuous measurements provide dramatic advantages, especially when the conformance probability is high.

Keywords:

• Lower confidence bound
• Probability of conformance
• Upper and lower specification limits
• Sample size

ACKNOWLEDGMENTS

I would like to thank Paul Deininger, Kyle Stokes, and Dee Won for their encouragement of this work.