Statistics for management

Learning goals The main educational objective of the course is the learning of the linear model analysis in its theoretical, methodological and applicative aspects. Students must master language and the principles of statistical analysis in the experimental field. Knowledge and understanding. After having attended the course the students know and know how to apply the methods of analysis of the Linear Model, in the various experimental, observational and quasi-experimental situations. Applying knowledge and understanding. At the end of the course the students are able to identify which types of situations can be analyzed with the linear model tools, and to formalize them in terms of parametric statistical models. They are also able to formulate substantive questions in parametric terms, in different situations, and answer to these questions with the tools of statistical analysis. Making judgements. Students develop critical skills through the application of inferential methodologies to a wide range of situations that can be represented in the linear model family. They also develop the critical sense through the selection, estimation and validation procedure of the statistical model in different situations related to real data. Communication skills. Particular attention is paid to the technical-scientific language of the discipline, which must be used correctly in the final test. Learning skills. Students who pass the exam have acquired the fundamentals of the parametric models that allow them to face the study of more complex models.