- Docente: Marco Novelli
- Crediti formativi: 4
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea in Scienze statistiche (cod. 8873)
Conoscenze e abilità da conseguire
The course gives students further experience of analysing data in a wide variety of contexts, using the R computer package. By the end of the course the students will be able to: - implement simple statistical techniques, such as the normal linear model, in R. - interpret the results from statistical procedures and draw appropriate conclusions. - develop and implement an appropriate modeling approach to answer questions of interest about a given data set. - critically assess the quality of a statistical analysis conducted by someone else. - write up the results of a statistical analysis concisely in the form of a report
Contenuti
1) Introduction to R: downloading and installing R, R language essentials, data entry
2) Univariate and bivariate descriptive statistics with R for quantitative and qualitative variables.
3) Probability distributions in R: random sampling, discrete and continuous distributions, densities, cumulative distribution functions and quantiles.
4) Point estimation, confidence intervals and hypotheses testing in R.
5) The linear regression model in R.
Testi/Bibliografia
P. Dalgaard (2008) Introductory statistics with R - 2 ed. New York: Springer.
Metodi didattici
All the lectures will be held in the lab where several applications will be developed by using R.
Modalità di verifica e valutazione dell'apprendimento
The final exam aims at evaluating the achievement of the following educational targets:
- to know the main features of R
- to be able to perform statistical applications in R
The exam consists of a practical test in the computer lab.
Strumenti a supporto della didattica
Computer and R scripts.
Orario di ricevimento
Consulta il sito web di Marco Novelli