Normality Assessment of Several Quantitative Data Transformation Procedures

Usually, quantitative data standardization and/or normalization procedures requested in biological and as well biomedical analysis with the purpose to infer about linear regression relationship between processed variables conditions. Here, we embarked understand performance of transformation systems terms reducing variability assessing distribution normality by a computational statistic approach. For this purpose, performed several multivariate descriptive analytical statistical tests. Even if results shown drastic reduction applying presently procedures, it is noteworthy underline relative opposite attitude Exponential (Expo) system that sense. In addition although, revealed variance homogeneity for both Maximum Logarithm methods, regard submitted Box-Cox, Z-score, Minimum-Maximum Square Root methods. Further, findings exhibited high aptitude Root, Box-Cox stabilizing variability. Interestingly, performances term adjusting normal distribution. addition, multiple comparison mean Turkey contrast test suggested method. conclusion, even our heterogenic methods