First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Economics and Political Science
Course unit
SP07107824, A.A. 2014/15

Information concerning the students who enrolled in A.Y. 2014/15

Information on the course unit
Degree course First cycle degree in
SP1841, Degree course structure A.Y. 2011/12, A.Y. 2014/15
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination STATISTICS
Department of reference Department of Political Science, Law, and International Studies
Mandatory attendance No
Language of instruction Italian
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge CINZIA MORTARINO SECS-S/01

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses SECS-S/01 Statistics 9.0

Course unit organization
Period First semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Lecture 9.0 65 160.0 No turn

Start of activities 22/09/2014
End of activities 24/01/2015
Show course schedule 2019/20 Reg.2018 course timetable

Examination board
Examination board not defined

Target skills and knowledge: Ability in an economic or business problem setting requiring a statistical approach. Application of marginal and relational techniques aimed at recognising forms of dependence, allowing prediction and related corrective actions. Detection and control of significant dominant factors in typical economic or managerial contexts
Examination methods: Written exam.
Course unit contents: 1). The statistical model: general aspects.
Introduction to statistics. Data collection, types of statistical variables. Automatic and manual counting. The frequency distribution.
2). Qualitative variables
a) Univariate distributions: Location of a distribution, mode, median. Variability and its measure, Gini and Shannon indexes.
b) Bivariate distributions: Joint, marginal and conditional. Stochastic independence. Association: Mortara and Pearson indexes. Conditional, residual and total entropy; entropic dependence indexes.
3). Quantitative variables
a) The univariate case. Frequency distributions, density, frequency. Measures of location: mode, median, quantiles. Power means. Dispersion and global variability indicators: mean absolute deviation, mean differences, standard deviation, variance. Box-and-whiskers diagrams. Variability comparisons.
b) The bivariate case. Distributions: bivariate joint, marginal and conditional. Stochastic independence. Conditional means and variances, regression function. Mean independence. Correlation ratio. Covariance, correlation and linear constraints. Least squares method, polynomial regression. Goodness-of-fit indexes, lack-of-fit. Residual analysis.
c) The multivariate case. Multiple regression analysis. Partial correlation. Selection of explanatory variables in a linear model, partial correlation. Stepwise regression: software and operational aspects of the regression model.
Textbooks (and optional supplementary readings)
  • MORTARINO, C., Statistica. Esercizi svolti, 2a ed.. Padova: CLEUP, 2007. Capp. 1-7 e cap. 12 Cerca nel catalogo
  • GUSEO, R., Statistica, 3a ed.. Padova: CEDAM, 2006. Capp. 1-6 Cerca nel catalogo