â¢GUIDA ECONOMIA 07-08 - Università degli studi di Udine
â¢GUIDA ECONOMIA 07-08 - Università degli studi di Udine
â¢GUIDA ECONOMIA 07-08 - Università degli studi di Udine
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240 prospectus u<strong>di</strong>ne<br />
fore, we recommend students attend the<br />
Sociology 1 course before Sociology 2.<br />
Exam<br />
There will be both a written and an oral<br />
test. The written test (comprising both<br />
open and closed questions) will precede<br />
the oral test, which will be held a few days<br />
later.<br />
STATISTICAL DATA ANALYSIS<br />
Prof. Gian Pietro Zaccomer<br />
Aims<br />
The course aims to provide students with<br />
the theoretical elements of descriptive<br />
statistics and their applications on a computer.<br />
This course mainly deals with both<br />
the basic elements of univariate statistics<br />
(focusing particularly on measures of<br />
location, variability, shape) and some elements<br />
of bivariate statistics like correlation<br />
and regression.<br />
Contents<br />
1. Targets of statistics and basic definition<br />
Statistics and data variability. Descriptive<br />
statistics and data analysis. Statistic units<br />
and the population. Definition and data<br />
survey. Data quality. Variables. Methods<br />
of analysis. Series. Frequencies and <strong>di</strong>stributions.<br />
Classes and seriations. Density<br />
function. Graphical data analysis.<br />
2. Univariate analysis<br />
Data matrix. Data support. Probability<br />
density function and frequency function.<br />
Cumulative <strong>di</strong>stribution function and its<br />
typical values. Measures of location:<br />
mode, me<strong>di</strong>an, arithmetic average and<br />
power means. Variability indexes: root<br />
mean square error, variance and its<br />
decomposition, coefficient of variation.<br />
Shape indexes: kurtosis and skewness.<br />
3. Elements of bivariate analysis<br />
Contingency table. Bivariate and marginal<br />
<strong>di</strong>stributions. Covariance. Coefficient<br />
of linear correlation. Interpolation and<br />
line of regression.<br />
4. Spreadsheets for data analysis<br />
Basic elements of a spreadsheet. Administration<br />
of files, sheets, command windows<br />
and menus. Management of the<br />
work area. Use of matrixes. Set up of formulae:<br />
mathematical and statistical formulae.<br />
Check of results. Simple management<br />
of data bases: ways to insert data<br />
and to extract results. Activation of ad<strong>di</strong>tional<br />
templates for data analysis. Customization<br />
of the graphic interface.<br />
Bibliography<br />
- F. CRIVELLARI, Analisi statistica dei dati<br />
con R, Apogeo, Milano, 2006.<br />
- M. MIDDLETON, Analisi statistica con<br />
Excel, Apogeo, Milano, 2006.<br />
- L. PACE, A. SALVAN, Introduzione alla statistica<br />
I - Statistica descrittiva, Cedam,<br />
Padova, 2000.<br />
- L. PAGANI, Lezioni <strong>di</strong> elementi <strong>di</strong> informatica<br />
e analisi dei dati, Forum, U<strong>di</strong>ne, 2002.<br />
- R. PICCARRETA, M. MEZZETTI, Statistica<br />
descrittiva. Esercizi risolti, Egea, Milano,<br />
2002.<br />
Notes<br />
The course is structured for ‘learning by<br />
doing’: all lessons take place in the computer<br />
room. They include both theory and<br />
its application, so the forth part of the program<br />
is evenly <strong>di</strong>stributed during the<br />
entire course. The study of texts and<br />
slides must be performed in accordance<br />
with the recommendations given by the<br />
lecturer during lessons.<br />
STATISTICAL MEASUREMENT<br />
OF ECONOMIC PHENOMENA<br />
Prof. Gian Pietro Zaccomer<br />
Aims<br />
The target of this course is to provide the<br />
basic elements to understand and mea-
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