Exclusive Content & Downloads from ASQ

A Graphical Tool for Detection of Outliers in Completely Randomized, Unreplicated 2 k and 2 k-P Factorials

Summary: With the increased awareness of statistical methods in industry today, many non-statisticians are implementing statistical studies and conducting statistically designed experiments (DOEs). With this increased use of DOEs by non-statisticians in applied settings, there is a need for more graphical methodologies to support both analysis and interpretations of DOE results. In particular, there is a critical need for user-friendly means to investigate outlier effects of noise and active background variables in unreplicated DOEs. This article presents a profoundly simple, yet effective, methodology to identify outliers in unreplicated 2k and 2k-p factorial designs that integrates well-established, confirmatory statistical techniques with a simple graphical, exploratory tool.

Please sign-in or register to download this information. Registration is FREE and gives you access to ASQ's articles, case studies and general information.

Other Ways to Access content:

Join ASQ

Join ASQ as a Full member. Enjoy all the ASQ member benefits including access to many online articles.

  • Topics: Design of Experiments
  • Keywords: Design of experiments (DOE), Fractional factorials, Graphical methods, Outliers, Statistical methods, Unreplicated fractional experiment
  • Author: Sanders, Doug; Hild, Cheryl
  • Journal: Quality Engineering