The student must be able to understand and use the main tools of descriptive and inferential statistics in the analysis of experimental or observational data.

The student will be able to synthesize experimental or observational data through synthetic measurements; to apply probability calculus to real-world problems and to correctly use inferential theory to construct quantities of interest.

The course is divided into three main parts. The first part will address descriptive statistics topics, such as frequency tables, location indices, and variability indices. The second part will formally introduce probability theory and illustrate the main properties of random variables. The third part will introduce the theory of statistical inference, and will cover topics such as point and interval estimation and hypothesis testing.

Cicchitelli, P. D'Urso, M. Minozzo, "Statistics: principles and methods"

Lectures will be supported by slides provided by the instructor. Weekly exercises are planned to prepare for the final exam.

The student will be assessed through a written test, including exercises and theoretical questions regarding the entire program. There is also an intermediate test which will allow students evaluated positively to be exempted from part of the final test.