00914 - Statistics

Course Unit Page

SDGs

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

Quality education

Academic Year 2021/2022

Learning outcomes

By the end of the course the student learns the basic concepts of the statistical methodology, with a particular focus on the biological applications: she/he is able to interpret simple statistical tests on biomedical data.

Course contents

The main topics of the course are the following:

1) Introductory concepts: statistical variables, sample and population and experimental studies.

2) Descriptive statistics univariate and multivariate, considering association between two qualitative variables and correlation between two quantitative variables. 

3) Introduction to probability.

4) Inferential statistics: estimation and hypothesis testing.

Readings/Bibliography

The lecture notes provided by the teacher are the main reference for the course.

For further reading the following books are suggested:

Whitlock e Schluter. Analisi statistica dei dati biologici. Zanichelli, 2010.

Montanari, Agati e Calò. Statistica. Con esercizi commentati e risolti. Casa Edistrice Ambrosiana, 1998.

Petrie e Watson. Statistics for veterinary and animal science. John Wiley & Sons, 2013.

Teaching methods

Lectures and tutorials concerning the main topics of the exam 


Assessment methods

The assessment is carried out by means of a written exam.

The written examination has a duration of 1 hour and it includes:

- 1 open question on case studies comments. A maximum grade of 6 marks is assigned for this answer.

- 10 multiple choices questions on the methodological notions. A short motivation for the answer provided will be requested too. Each correct answer with an exhaustive explanation is evaluated with 3 marks.

 

The final result is integrated with that of the Applied Physics test. The overall examination is considered passed if both tests are successful.

The FINAL SCORE of the integrated course will be calculated as arithmetic mean between the results of the Statistics and Applied Physics tests; if the arithmetic mean is not an integer, verbalizable, the rounding will be carried out considering as predominant the test relative to the teaching with the greatest number of credits (Applied Physics).

"Lode" will be recognized if at least in one course the student gets honours and in both courses the score achieved is 30/30.

Teaching tools

Lecture notes, slides and further materials will be provided in course page on virtuale.unibo.it.

Office hours

See the website of Riccardo Ievoli