79191 - ANALYSIS OF DATA

Anno Accademico 2018/2019

  • 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