Tests for normality are particularly important in process capability analysis because the commonly used capability indices are difficult to interpret unless the data are at least approximately ...

Normality testing is a fundamental component in statistical analysis, central to validating many inferential techniques that presume Gaussian behaviour of error terms ...

On sexuality, normalcy, and ethics. Now we have long known, at least since the days of Alfred Kinsey, that the idea of the “normal” confers social sanction and, indeed, social approval. “Everybody’s ...

Review challenges in the use of normality testing situations and recommendations on how to assess data distributions in the pharmaceutical development manufacturing environment Statisticians ...