Statistics

The goals of the course are:
- To provide the students with methods and procedures to build summaries and graphical representations of a set of data
- To introduce the students to the tools (technical language and models) to represent and analyze random phenomena
- To introduce the students to the fundamental methods of statistical inference
- To enable the students to apply the statistical methods and techniques object of the course to real data through the use of an appropriate statistical software

Knowledge and understanding.
Having successfully taken the course examination, the students are expected to
- know the foundational principles of probability and statistics;
- know the correct terminology of probability and statistics and to be able to correctly argument the theory.
The students' knowledge and comprehension is expected not be limited to the enunciation of definitions and results and to the solution of standard exercises, but rather to be critical and enabling to distinguish among different situations and to take appropriate choices, justifying the followed procedures.
Ability of applying knowledge and understanding.
Having successfully taken the course examination, the students are expected to
- be able to apply the attained knowledge to specific problems of data analysis;
- be able to select the principles which are useful to obtain the solutions to the problems at hand;
- be able to elicit relevant indicators and summaries from large amounts of data.