Statistics

The goal of the course is to provide basic notions of descriptive statistics, probability theory and inferential statistics. More specifically, the aim is to develop the proper technical language and to enable students to attend more specialized courses such as "Statistica per le decisioni aziendali", "Statistica per i Big Data Economico/Aziendali" and "Econometria".

At the end of the course a student will have acquired the appropriate terminology and will have learned the main tools of descriptive statistics (construction of indices, tables and graphs and interpretation of the same) and of inferential statistics (point estimation, confidence intervals and hypothesis testing).
In particular, he/she will be able to apply the right statistical technique to analyse data and to solve common real-life problems. He/she will be able to construct and read frequency tables and to interpret the most common statistical indices; to calculate and to interpret point estimates and confidence intervals and to test the most common statistical hypotheses, such as equality of means and independence between variables. Finally, he/she will be able to perform a simple linear regression through a statistical software and to interpret the output.