# Bachelor's degree in Physiotherapy (to qualify as a physiotherapist) (Rovereto)

### Propaedeutic physical and biological sciences - STATISTICA DESCRITTIVA

Course code
4S01837
Name of lecturer
Francesca Locatelli
Number of ECTS credits allocated
1
MED/01 - MEDICAL STATISTICS
Language of instruction
Italian
Location
ROVERETO
Period
FISIO ROV 1^ ANNO - 1^ SEMESTRE dal Oct 8, 2018 al Dec 14, 2018.

To show the organization of the course that includes this module, follow this link Course organization

## Learning outcomes

To collect and synthesize data from a clinical or epidemiological research, give a summary measure and be able to interpret the main statistical results, knowing how to construct and interpret a graphical representation of the summary of the results.

## Syllabus

• Use of statistics in health data

• Collection and presentation of data
Measurement procedure and Variable types
Precision and accuracy of a measurement procedure
Tables 1 and 2 entries
Absolute and relative frequencies
Cumulative frequencies

• Graphical representation of the data

• Position and dispersion measures
Mode
Quantiles and median
Simple and weighted mean
Range and standard deviation
Coefficient of variation

• Introduction to probability
• Definition of probability
• Rule of addition and multiplication
• Independent and conditional probability

 Reference books Author Title Publisher Year ISBN Note Lantieri PB, Risso D, Ravera G Elementi di Statistica Medica McGraw-Hill 2007 Verlato G, Zanolin ME Esercizi di Statistica Medica, Informatica ed Epidemiologia Libreria Cortina Editrice, Verona 2000 Glantz SA Statistica per Discipline Biomediche (Edizione 6) McGraw-Hill 2007 9788838639258

## Assessment methods and criteria

To pass the examination of the Medical Statistics module, students will have to demonstrate that they have learned the knowledge of the topics they are planning and the ability to apply the statistics to clinical data in an appropriate way.
The Exam of Medical Statistics consists of a written test based on the course contents, with multiple-choice questions and a multi-task exercise.

## STUDENT MODULE EVALUATION - 2017/2018

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