


Politecnico di Torino  
Anno Accademico 2009/10  
01LQRDR, 01LQRAX, 01LQRJA Probability and statistics 

Corso di Laurea in Ingegneria Meccanica  Vercelli Corso di Laurea in Ingegneria Civile  Vercelli Corso di Laurea in Electronic And Computer Engineering  Vercelli 





Obiettivi dell'insegnamento
The course provides basic knowledge on statistics and probability theory.

Competenze attese
Ability to solve applied problems involving basic probability theory and to analyze data with simple tools from statistics.

Prerequisiti
Calculus I and II.

Programma
Probability. Introduction to probability and counting. Axioms of probability. Conditional probability and Bayes theorem. Discrete random variables: binomial and Poisson distributions. Expectation and distribution parameters. Continuous random variables: Gamma and Normal distributions. Joint distributions: covariance and correlation, linear regression.
Statistics. Point estimation. Central limit theorem. Statistical intervals based on a single sample. Inferences on the mean and on variance. Testing hypotheses. 
Laboratori e/o esercitazioni
Problem sessions will widen and deepen the topics treated in the lectures. Time will be also devoted to problem solving and working out examples and exercises.

Bibliografia
Main text:
J.S. Milton, J.C. Arnold Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences, 4th edition Mc Graw Hill international editions Problem solving and exercises: J.S. Milton, J.C. Arnold Student Solutions Manual to accompany Introduction to Probability and Statistics, 4th Edition Mc Graw Hill international editions 
Controlli dell'apprendimento / Modalità d'esame
The exam will consist in a test requiring the solution of three or four exercises and in an oral discussion on the solution strategy used in the test. The written test will account for roughly 80% of the final grade.

Orario delle lezioni 
Statistiche superamento esami 
