he course aims at providing students with specific competences in sampling tecniques and statistical data analysis. Particular relevance is given to probability and inference, as the course means to provide students with the necessary tools for supporting decisional processes through the management of data bases and the use of statistical models.
Canali
teacher profile teaching materials
Mutuazione: 21210057 STATISTICA in Economia L-33 A - L CONIGLIANI CATERINA
Programme
An introduction to the fundamental ideas of statistics. Topics include descriptive statistics, probability, confidence intervals, and testing hypotheses, as well as the basics of Chi-square tests, regression and correlation.Core Documentation
G.Cicchitelli, P.D'Urso, M.Minozzo. Statistica: principi e metodi. Pearson, terza edizione (2017).Type of delivery of the course
-Type of evaluation
For the exams in June-July 2020 the written exam is replaced by an oral examination (involving the solution of specific exercises) on Microsoft Teams. teacher profile teaching materials
variables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Statistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Mutuazione: 21210057 STATISTICA in Economia L-33 M - Z TERZI SILVIA
Programme
descriptive statisticsvariables and their measurement
univariate distributions
describing data with tables and graphs
measures of position
variability
bivariate descriptive statistics
independence, association, correlation
probability distributions for discrete and continuous variables
sampling distributions
Inference:
estimation
hypothesis test
Core Documentation
A. Agresti, B. FinlayStatistical methods for the social sciences
Pearson International Edition - 4th edition 2009
Type of delivery of the course
It is a traditional course with lectures in the classroom. There are also 2 hours a week dedicated to excersisesType of evaluation
There is a written examination consisting in 3 or 4 numerical excercises to evaluate the degree of knowledge of the subject.