11406 - Statistics for Experimental Research

Academic Year 2021/2022

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: First cycle degree programme (L) in Physiotherapy (cod. 8476)

Learning outcomes

At the end of the course the student will be able to understandthe usefulness of the application of correct statistical tools fora research plan, to recognize the correct statistical tests to be used in the main research contexts and to correctly interpret statistical data reported in the scientific literature related to physiotherapy.

Course contents

· Definition of statistics and its aims

· Definition of variables and of distribution

· How to do graphs and how to interpret them

· Basic descriptive statistics

· Inferential statistics: the comparison tests (ANOVA, ANCOVA, t-test, Non parametric tests)

· Correlation statistics: bivariate analysis, univariate regression analysis, multivariate regression analysis

· Association statistics: logistic regression

· Prediction statistics: Cox-analysis, Survival analysis, Curves of Kaplan-Meyer

· Diagnostics: sensibility and specificity, ROC curves

· Systematic reviews andMeta-analysis: definitions, data interpretation

The main statistical tests will be shown pratically as output of the SPSS 21.0 statistical software


Ripoli A. Statistica medica facile. Alice nel paese del p-value. Il Pensiero Scientifico Editore, 2009.

Norman G.R., Streiner D.L. Biostatistics: The Bare Essentials, 3a edizione

Ann Weaver, Stephen Goldberg. Clinical biostatistics and epidemiology made ridiculously simple. MedMaster Inc., Miami, USA, 2012

Teaching methods

Classical lectures

Demonstration of statistical analysis and graphs and table creation with SPSS 21.0

Interpretation of the obtained outputs

Assessment methods

Multiple answer quiz

Office hours

See the website of Andrea Turolla


Good health and well-being

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.