Statistical interpretation of data Tests for departure from the normal distribution

This technical specification outlines methodologies for assessing deviations from a normal distribution in statistical data analysis. It provides systematic approaches to determine whether observed datasets conform to expected statistical patterns or exhibit significant skewness and kurtosis. The document details various testing procedures applicable to different sample sizes and data types, enabling practitioners to make informed decisions regarding the validity of underlying distributional assumptions. By establishing consistent criteria for evaluating data behavior, this framework supports rigorous quality control processes and enhances the reliability of statistical inferences. The guidelines facilitate the identification of outliers and non-conforming characteristics that may impact analytical outcomes. Implementation of these procedures ensures uniformity in data assessment across various scientific and industrial applications, promoting accuracy in reporting and decision-making processes involving probabilistic models.