Statistical methods and data analysis

Lecturer: prof. Stefano Siboni (DICAM/UNITN)

Timetable: 15 March - 6 May 2021 - lectures will be available ONLINE via Zoom

Weeks:

• Monday 15/03; Tuesday 16/03; Thursday 18/03 hours 10:30 - 12:30
• Monday 22/03; Tuesday 23/03 hours 10:30 -12:30 ; Wednesday 24/03 hours 14:30 - 16:30
• Monday 29/03; Tuesday 30/03 hours 10:30 - 12:30
• Thursday 08/04 hours 10:30 - 12:30
• Monday 19/04; Tuesday 20/04; Thursday 22/04 hours 10:30 - 12:30
• Monday 26/04; Tuesday 27/04; Thursday 29/04 hours 10:30 - 12:30
• Monday 03/05; Tuesday 04/05; Thursday 06/05 hours 10:30 - 12:30

Aim: The aim of the course is to illustrate the basic mathematical tools for the analysis and modeling of experimental data, particularly concering the main statistical methods. The idea is not simply to describe and discuss the "cooking recipes" for the statistical treatment of data, but also to introduce and analyze in a critical way the statistical models implemented by the computation procedures, stressing their limitations and the actual interpretation of the results.

Programme: see the attachment

Assessment modality: Participants are required to pass a written examination consisting in the application of some statistical techniques (calculation of confidence intervals, hypothesis testing, calculation of correlation coefficients, ANOVA, linear regressions by chi-square or least squares fitting --- regression straight lines) presented in the course.

Duration: 36 hous (4,5 credits)

Registration: in order to access the course, please send an e-mail to dicamphd [at] unitn.it