Bachelor's degree in Sport and Exercise Science (from 2008-2009)

Statistics applied to movement sciences

Course code
4S001355
Name of lecturer
Maria Elisabetta Zanolin
Coordinator
Maria Elisabetta Zanolin
Number of ECTS credits allocated
3
Other available courses
Academic sector
MED/01 - MEDICAL STATISTICS
Language of instruction
Italian
Period
2° semestre motorie dal Mar 1, 2021 al May 31, 2021.

Lesson timetable

Go to lesson schedule

Learning outcomes

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.

Syllabus

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

Assessment methods and criteria

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.





© 2002 - 2020  Verona University
Via dell'Artigliere 8, 37129 Verona  |  P. I.V.A. 01541040232  |  C. FISCALE 93009870234
Statistics  |  Credits