Univariate and Multivariate Statistical Treatments for Scientific Writing

Effective data treatment ensures accuracy and reliability in scientific research, forming a critical foundation for the preparation of a well-structured and insightful scientific paper. A part of the course is designed to equip participants with the essential skills for preparing a high-quality scientific paper, covering key aspects from data analysis to structuring manuscripts. 'Statistical treatment' is when you apply a statistical method to a data set to draw meaning from it. Statistical treatment can be either descriptive statistics, which describes the relationship between variables in a population, or inferential statistics, which tests a hypothesis by making inferences from the collected data. Every PhD student in Industrial Chemistry, must have a basic understanding of statistical treatment if their study is to be reliable. This is because designing experiments and collecting data are only a small part of conducting research. The other components, which are often not so well understood by new researchers, are the analysis, interpretation and presentation of the data. This is just as important, if not more important, as this is where meaning is extracted from the study.