Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Type D and Type F activities
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea in Scienze delle attività motorie e sportive - Enrollment from 2025/2026I Regolamenti dei corsi di laurea e di laurea magistrale di scienze motorie prevedono che gli studenti possano completare il proprio piano didattico, frequentando oltre agli insegnamenti obbligatori anche delle attività formative a scelta, per approfondire alcuni aspetti tematici o settori di interesse, in coerenza con il proprio percorso formativo.
Le attività formative a scelta di ambito D sono indicate all’interno del piano didattico del corso di studio prescelto, mentre le attività formative di ambito F sono individuate da una apposita commissione di docenti. Queste ultime attività possono essere conferenze, seminari, webinar, altro e vengono acquisite con una valutazione e non con un voto in trentesimi.
Link attivo alla pagina: Regole e Tabelle delle attività a scelta
COMPETENZE TRASVERSALI
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 2° 3° | Hygiene applied to physical activities | D |
Ilaria Tocco Tussardi
(Coordinator)
|
| 2° 3° | Statistics applied to movement sciences | D |
Maria Elisabetta Zanolin
(Coordinator)
|
Statistics applied to movement sciences (2024/2025)
Teaching code
4S001355
Teacher
Coordinator
Credits
3
Language
Italian
Scientific Disciplinary Sector (SSD)
MED/01 - MEDICAL STATISTICS
Period
2° semestre triennio dal Mar 3, 2025 al Jun 6, 2025.
Courses Single
Authorized with reserve
Learning objectives
The main objectives of the course are to provide the essential knowledge of the discipline, to make students able to calculate and interpret the most common descriptive and inferential statistics used in the scientific literature.
Prerequisites and basic notions
No prerequisites.
Program
1) Measurement: measurement scales and validity, precision and accuracy.
2) Statistical variables and frequency distributions.
3) Descriptive statistics (measures of position and variability, contingency tables).
4) Introduction to probability theory.
5) From sample to population: principles of statistical inference.
a. Confidence intervals;
b. hypothesis testing (t-test for comparing two means, t-test for paired data, test for comparing proportions).
6) The Chi-Squared distribution and the analysis of frequencies.
7) Correlation and simple linear regression; interpretation of multiple regression analysis.
8) ANOVA: the analysis of variance.
Fowler J, Jarvis P, Chevannes M (2006) Statistica per le professioni sanitarie. EdiSES: Napoli.
Triola MM, Triola MF (2009) Statistica per le discipline biosanitarie. Ed. Pearson.
Mecatti F (2015) Statistica di base, II edizione. Ed. McGrawHill, Milano.
Verlato G, Zanolin ME (2000) Esercizi di Statistica Medica, Informatica ed Epidemiologia. Editrice Libreria Cortina: Verona.
Villani S, Borrelli P.(2013) Excel & Statistica Medica. Ed. Medea s.r.l. Pavia
Didactic methods
The lessons will be given in presence and the teaching material will be available in Moodle.
Learning assessment procedures
The exam consists of a written exam followed by an optional oral exam. The written exam contains multiple choice questions and open answer exercises. Oral exam deals mainly with the written exam answers.
Evaluation criteria
The evaluation will be done on the student's ability to interpret tables from the scientific literature and to do the statistical analyses presented during the course.
Criteria for the composition of the final grade
The final votation will be calculated by a weighted mean of the scores obtained in the different parts of the exam.
Exam language
Italiano
