STATISTICAL DATA ANALYSIS
Academic year2016/17
CoursePHYSICS
Code193BB
Credits9
PeriodSemester 1
LanguageItalian
| Modules | Area | Type | Hours | Teacher(s) |
| ANALISI STATISTICA DEI DATI | FIS/01 | LEZIONI | 54 | |
Programma non disponibile nella lingua selezionata
Knowledge
Students are expected to acquire:
knowledge of probability, models and probability distributions (discrete and continuous);
understand how to combine different random variables and their functions.
Meaning and some experience on statistical tests (both significance test and decision making).
Know the methods for parameter estimation with maximum Likelihood and least square.
Meaning of Confidence intervals.
Assessment criteria of knowledge
- During the oral exam the student must be able to demonstrate his/her knowledge of the course material and be able to discuss specific items from her/his experience at the light of statistics.
- Exercises are proposed and the ability of the student to organize their solution is part of the eveluation.Methods:
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- participation in discussions
Attendance: Advised
Teaching methods:
- Lectures
- Task-based learning/problem-based learning/inquiry-based learning
Syllabus
Probability, Bayes and Frequency school.
Distributions: Binomial, Poisson, Gauss, ChiSquare, and many others.
Law of large numbers (finite or undefined variance), Central limit theorem.
Theory of estimation.
Theory of tests.
The style is mathematical but insisting on the meaning of each method, also with examples and exercises.
Bibliography
The notes of the course are available on the web and are, in principle, sufficient to a reasonable preparation, mainly if the student has attended the lessons.
Recommended texts fo complementary informations:
Probability: W Feller "An introduction to probability theory and its application", Vol I and II
Statistics: W.T. Eadie et al, "Statistical methods in Experimental physics"
A.G. Froseden et al "Probability and statistics in particle physics"
General: I. Hacking "The emergence of probability"
I. Hacking: "The logic of statistical Inference"
Many other books and articles are suggested in the notes of the course.
Updated: 14/11/2016 17:27
