ID:
80031
Duration (hours):
48
CFU:
8
SSD:
Statistics
Located in:
REGGIO DI CALABRIA
Url:
Economic Sciences/comune Year: 1
Year:
2025
In today's society, subject to continuous evolution and change, socio-economic theory must equip itself with the methodological analysis tools needed to collect, select, and process the data produced in the economic system. After an introduction to methodological statistics, the course aims to explore probability theory in depth, outlining its fundamental principles, particularly with a view to analyzing modern decision theory.
At the end of this course, students will be able to understand and use the main statistical tools necessary for the analysis of phenomena in various fields (social, economic, etc.) and in their various manifestations. Students will be able to organize the observed data of one or more phenomena of interest in a frequency or contingency table, summarize their main characteristics and relationships through appropriate univariate or bivariate indices, and deduce more general results about the population from the observed sample of data.
Dublin descriptors:
Elements of Mathematics
• Lectures.
• Guided exercises.
The exam consists of two distinct parts::
Access to the oral interview is subject to passing
the written test.
G. Cicchitelli; P. D'Urso; M. Mingozzo, Statistica; principi e metodi, Pearson
1. Social phenomena: how to evaluate them
2. Classification and representation of statistical variables
3. Frequency distributions - central values
4. Comparison between distributions and analysis of statistical characteristics
5. Probability and random variables
6. Statistical sampling
7. Estimation and estimators
8. Hypothesis testing
9. Combinatorial calculation
10. Probability and statistics in the social sciences
Assessment criteria:
30 cum laude: comprehensive, in-depth, and critical knowledge of the topics, excellent language skills, comprehensive and original interpretative skills, full ability to independently apply knowledge to solve the problems proposed;
28 - 30: comprehensive and in-depth knowledge of the topics, excellent language skills, comprehensive and effective interpretative skills, ability to independently apply knowledge to solve the problems proposed;
24 - 27: knowledge of the topics with a good degree of mastery, good language skills, correct and confident interpretative skills, good ability to correctly apply most of the knowledge to solve the problems proposed;
20 - 23: adequate knowledge of the topics but limited mastery of them, satisfactory language skills, correct interpretative skills, more than sufficient ability to independently apply knowledge to solve the problems proposed;
18 - 19: basic knowledge of the main topics, basic knowledge of technical language, sufficient interpretative skills, sufficient ability to apply the basic knowledge acquired;
Insufficient: does not have an acceptable knowledge of the topics covered during the course.