- Docente: Silvia Cagnone
- Lingua di insegnamento: Inglese
- Moduli: Paola Bortot (Modulo 1) Silvia Cagnone (Modulo 2)
- Modalità didattica: Convenzionale - Lezioni in presenza (Modulo 1) Convenzionale - Lezioni in presenza (Modulo 2)
- Campus: Bologna
- Corso: Laurea Magistrale in Economics (cod. 8408)
Conoscenze e abilità da conseguire
The aim of the course is to refresh the pre-requisite knowledge for the STATISTICS course, usually acquired by the student in his/her first cycle degree. At the end of the course the student has a working knowledge of: -probability, conditional probability, probability distributions, sampling distributions, estimation methods (moments, likelihood) and large sample theory.
Contenuti
Module 1:
Review of the axiomatic approach to probability
Total Probability Law and Bayes Theorem
Discrete and continuous random variables and properties of some common families of probability distributions (the Binomial, Poisson, Gaussian and Gamma distributions)
Module 2:
Random sampling and sampling distributions.
Estimation theory. Point estimation: finite estimator properties. Interval estimation.
Hypothesis tests: Statistical tests about the mean, a proportion, the variance of a population. Approximate test on a probability. Test on the difference between two means. Test on the difference between two proportions. Test on the difference between two variances. The concept of p-value. Chi square test.
Testi/Bibliografia
Mann P.S. "Introductiory Statistics" eight edition, Wiley, 2013.
Borra S., Di Ciaccio A. "Statistica. Metodologia per le scienze economiche e sociali"
Metodi didattici
Classroom lessons
Strumenti a supporto della didattica
Teacher's notes available at the web-site http://www2.stat.unibo.it/cagnone.
Orario di ricevimento
Consulta il sito web di Silvia Cagnone
Consulta il sito web di Paola Bortot