Anno Accademico 2018/2019
- Docente: Francesco Bergamaschi
- Crediti formativi: 6
- SSD: SECS-S/03
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Innovation and organization of culture and the arts (cod. 0902)
Conoscenze e abilità da conseguire
Student is expected to get a basic knowledge and precise framework about statistics and statistical techniques concerning the analysis of data bases. In particular the student is expected to learn: - probability s tools - measures of variance - index numbers.
Contenuti
Descriptive statistics
Probability
Discrete and continuous probability distributions
Mean, median, mode, central value
Frequency Analysis
Bar graphs, histograms, scatter plots, box plots
Standard deviation, variance
Kurtosis, skewness
Correlation and covariance
Hypothesis tests
Basics of linear regressions, p-values, residualsTesti/Bibliografia
Doane, Seward / Applied Statistics in Business and Economics, Mc Graw Hill, 2018 (6th edition)
Metodi didattici
Theoretical lectures in class, practical applications in laboratory with the statistical software R
Modalità di verifica e valutazione dell'apprendimento
Written exam, consisting in a test with closed theory questions and an application to be run at the PC with the statistical software R
Strumenti a supporto della didattica
Blackboard, slides, PC
Orario di ricevimento
Consulta il sito web di Francesco Bergamaschi