Corsi online

The course will enable the student to use the appropriate methodological tools to describe a statistical population through graphical representations and appropriate indices, as well as to evaluate the potential relationship existing between statistical variables.

The candidate must identify and recognize the type of data available, the nature of the questions to which the data processing must contribute to, and the proper techniques to be used, among those learned in the course. Last, the candidate will be able to understand the meaning of the obtained analytical results and communicate it to others effectively.

The main topics and the evolution of statistics; The collection of statistical data and their presentation in tables; The graphical representations of statistical data; Position indices and their applications; Heterogeneity, variability and dispersion; The Normal or Gaussian distribution (symmetry); Statistical ratios and index numbers. Contingency tables and statistical independence; Odds and odd ratios on 2x2 tables;

For an exam of 9 cfu, the previous program will include the folowing additional topics: Functional dependence; Regression and correlation

For an exam of 10 cfu, the previous program must be augmented with the study of the basic concepts of statistical sampling.

The course stresses the advantages of a gradual and regular study activity by the students; this is crucial since Statistics is may be a challenging topic for social sciences students. The Learning Units are thus offered on a 2-week basis, and the learning material, which is both traditional and multimedia, is paired with a sequence of face-to-face meetings (one for each Unit), held during the evenings or in weekends, to increase the interaction samong students and teachers.

The examinations will take place in presence.

To participate in the exam it is strictly necessary to be registered through ESSE3.

Given the organizational complexity of the exam sessions, it is recommended to register well in advance (AT LEAST ten days before the exam session) and to cancel promptly if you no longer intend to participate in the exam.

To verify the achievement of the objectives described, the exam proposes to the student various semi-structured exercises and referred to real contexts and episodes, even if simplified, where the need arises to use data of various kinds to deepen the knowledge of reality. or guide operational decisions.

In addition to the compulsory written test, it is possible to take an optional oral test, which can be accessed having obtained a sufficient mark in the written test. The written test (if sufficient) assigns a grade between 18 and 27. If the written test is successfully passed, the oral test must be requested from the teacher via email before the deadline by which the student can refuse the grade on ESSE3. The oral exam can be carried out electronically at a distance or in person.

According to the internal guidelines of the Department of Law for the provision of distance teaching, the support activities are structural to the same courses, as these are activated in a "native" online degree programme mainly provided on a digital platform.

M. MONTINARO, G. NICOLINI, Elementi di Statistica descrittiva, Utet, Torino, rist. 2008. Per l'esame da 10 cfu si aggiunge: M.MONTINARO, Metodi statistici per le indagini campionarie - Utet, Torino rist. 2008.

Additional materials are made ​​available by the teacher through the Moodle course web site. It is recommended also to consult the detailed program available on the course weg page.

If requested by a significant number of students, the course will be activated with an extended curriculum for 9 and 10 CFUs as well.