Knowledge and understanding: elements of descriptive statistics, applications of probability; inferential statistics, tools necessary for a midwife. Ability to apply knowledge and understanding: be able to read and apply notions of Statistics to Physiotherapy trials, with the help of MS EXCEL and/or Jamovi. Making judgements: being able to critically evaluate the results of experiments and first scientific articles with the presence of data collection and analysis. Communication skills: being able to express oneself appropriately on the basic topics of Statistics and on the correct use of software in biomedical-health applications. Learning skills: being able to grasp the salient elements of new topics, in particular on research methodology in the biomedical field. Aim of the course is in particular to give basic notions in order to organizate the degree thesis

basic mathematics and statistics (see the first year Statistics course)

The thesis project: methodology, data collection and analysis.

G. Norman, D. Streiner (2015), Biostatistica – quello che avreste voluto sapere, Casa Editrice Ambrosiana; D.F. Polit, C.T. Beck (2014), Fondamenti di ricerca infermieristica, Mc Graw Hill H. Motulski (2021), Biostatistica essenziale, Piccin; Crawley M.J. (2005), Statistics: An introduction using R. Wiley;

Recall of Descriptive Statistics and Inferential Statistics. The thesis project: methodological aspects, data collection, analysis and processing Reading, individually and in groups, of scientific articles

lectures and exercises on data sets with statistical softwares. Work groups

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Critical reading of scientific articles.

This course explores topics closely related to one or more goals of the United Nations 2030 Agenda for Sustainable Development (SDGs)