Attendance

Learning goals. The primary objective is to provide students with basic concepts and procedures of descriptive statistics. At the end of the course the student must be able to design a small census survey and to conduct descriptive analyses of the data through the use of a statistical software. Knowledge and understanding. Upon completion of the course, students know and understand the main procedures of descriptive statistics. They are able to organize data in simple and contingency tables and to synthesize them through graphical representations. They know and are able to calculate the most important statistical indicators that measure (a) position, variability and form of simple distributions and (b) important aspects of the joint distribution of two variables. Furthermore, they have acquired the notion of statistical model and are able to implement a simple regression model. Applying knowledge and understanding. Upon completion of the course, students are able to apply the knowledge acquired, in order to interpret and critically evaluate the results of descriptive analysis. Making judgements. Through a large number of exercises on all the topics covered, students develop autonomous judgment skills that allow to identify the most appropriate methods to solve problems of descriptive statistics and to critically interpret the results of the elaborations provided by the software. Communication skills Students, through the study and the performance of practical exercises, acquire the technical-scientific language of the discipline, that must be properly used both in the written and in the oral examinations. Learning skills Students who pass the exam will have knowledge of the fundamental notions for the descriptive analysis of data. They will also be able to implement simple codes to organize data in tables and synthesize them through graphics and/or calculation of important indicators. Therefore, they have acquired the basics to learn what will be proposed in the subsequent statistical courses.