Normality Testing and Transformations

Abstract: The Distribution Analyzer software package identifies points that are potential outliers by reporting all values more than 4.5 standard deviations from the average. It uses robust estimators for the average and standard deviation to avoid potential outliers from biasing the estimates. Distribution Analyzer uses the trimmed estimators described in this article for this purpose. […]

This is part of a series of articles covering the procedures in the book Statistical Procedures for the Medical Device Industry. Purpose To provide guidance on normality testing to ensure the assumption of normality is adequately met when using variables sampling plans and related procedures. Related procedures include normal tolerance intervals, variables confidence limits for the