Università Roma Tre

This course is aimed to provide statistical, mathematical and computer competences needed to conduct an experiment, synthesizing the data and interpret the obtained results within a theory. Lessons and practical exercises allow using statistical theory and software tools for:
i) preparation, synthesis and analysis of the experimental data;
ii) statistical evaluation of errors and confidence intervals;
iii) evaluation of the results using statistical inference tests;
iv) the comparison of the results with the theory;
v) the parameter determination from data refinement.

Will be described the physical and statistical principles that govern the experimental observations and determine the uncertainties associated with measurements and data processing.

Will be provided basics information on probability and statistic distributions. Major "hypothesis rejection tests" are described, being tools for interpretation and comparison of experimental results.

Essential knowledge on PC architecture and working principles is given. Numerical analysis and logic operations are introduced. Basic software for experimental data treatment is used: EXCEL (office), CALC (OpenOffice), Gnuplot