STATISTICS

Academic year
2021/2022 Syllabus of previous years
Official course title
ELEMENTI DI STATISTICA
Course code
EM1112 (AF:358670 AR:189618)
Modality
On campus classes
ECTS credits
6
Degree level
Master's Degree Programme (DM270)
Educational sector code
SECS-S/01
Period
1st Semester
Course year
1
Where
VENEZIA
Moodle
Go to Moodle page
This course is part of the “core educational activities” of the master degree program in “Governance of Public Organizations” and it is compulsory.
The course aims to present the statistical methods that are often applied to the analysis of social phenomena and public policies evaluation.
Knowledge and understanding: understand the most important statisical methods
Ability to apply knowledge and understanding: analyze data for supporting decision making activities; apply predictive and interpretative models
The students are assumed to have a good knowledge of the basic principles of exploratory statistics and probability, as they are presented in any undergraduate level textbook of Statistics. As an example, a reference for these prerequisites are the chapters 1-4 of the textbook (Agresti and Finlay) listed in the following.
1. Statistical inference: estimation and hypothesis testing problems
1. Test for groups comparison
2. Analyzing Association between Categorical Variables
3. Linear Regression and Correlation
4. Introduction to multivariate Relationships
5. Regressione multipla

Agresti A., Finlay B., Metodi statistici di base e avanzati per le scienze sociali, Pearson, 2012, ch. 5-11.
Further materials will be in an area the Ca' Foscari e-learning platform.
The final assessment consists in a written exam, including multiple choice questions, and an oral exam . The exam aim at assessing the knowledge of the basic concepts and tools included in the programme and at assessing students’ ability of applying those concepts and tools to simple problems in the fields of economics and social sciences.
The exam rules could be modified due to the COVID-19 emergency.
The course is taught through presentation style lectures, integrated by the individual student activities. Students are supported by the indicated textbooks and by the resources made available on Moodle platform (slides, exercises, past exams).
Italian
Students are invited to enrol to the course at the e-learning platform (https://moodle.unive.it/course/view.php?id=660 ).
written and oral
This programme is provisional and there could still be changes in its contents.
Last update of the programme: 15/03/2021