19475 - QUANTITATIVE METHODS FOR DECISION ANALYSIS

Scheda insegnamento

Anno Accademico 2018/2019

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.

Programma/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, residuals

Testi/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 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