The exam aims to evaluate the achievement of the educational objectives related to the knowledge of basic statistical tools.
There are two forms of examination:
1) Full written examination focused on all course topics; 2) Two partial written examinations.
Exam methods in presence and at a distance
1 Full Exam lasting 80 minutes includes 4 exercises corresponding to the same overall score; 2 exercises focus on the topics of the first part of the course, 2 exercises on the second part of the course.
Each exercise includes a variable number of points and includes the application of properties or comments on the results obtained, with a more explicit reference to elements of theory.
2) Two partial tests lasting 60 minutes each. The first partial test, relating to the topics of the first part of the course, includes 3 exercises corresponding to the same overall score. This test can only be taken at the end of the first part of the course.
The subsequent partial test, sustainable only by students who demonstrate an acceptable knowledge of the basic notions in the first test, includes 3 exercises on the second part of the course, each with the same overall score. The structure and duration of the final partial test are identical to that of the first partial test. The second part can only be taken in the three exam sessions at the end of the lessons.
The final mark is given by an average of the two marks obtained.
The minimum overall grade (in the two forms of examination) requires the demonstration of an elementary knowledge of the basic notions relevant to the issues addressed while the maximum grade requires a full mastery of the analytical tools used during the lessons.
The remote exam tests will be administered through the use of Microsoft Teams or Google Meet and using the MOODLE platform. Detailed technical information will be posted on the Moodle Statistics course page.