The course aims to provide: - knowledge of descriptive statistics. - notions for the use of position and variability indicators. - acquisition of the principles and techniques of regression and correlation between variables. - knowledge of the fundamental notions of computer science. - skills on spreadsheet management, to create formulas, to carry out statistical tests, and to create graphs. - ability to use search engines for information retrieval.
Expected learning outcomes
At the end of the course the student should be able to: - describe phenomena using the main statistical indicators. - prepare sample survey plans. - apply the analysis of the variance with one and two factors. - objectively evaluate the results of statistical analyses. - use software packages for data management, statistical processing, data storage and their graphic representation. - be able to use bibliographic databases.