- Docente: Alessandro Lubisco
- Credits: 6
- SSD: SECS-S/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Forli
- Corso: Second cycle degree programme (LM) in Management for Social Economy (cod. 6802)
Learning outcomes
The aim of the course is to make the students able to coherently use some statistical techniques for the analysis of multivariate data. The procedures covered in the course include:
- Introduction to multivariate analysis
- Multiple regression;
- Chi-square test
- T-test
- Principal components analysis
Course contents
1. Introduction to multivariate statistical analysis.
2. Multiple linear regression: model specification, parameters estimation, residual analysis.
3. Chi square test for independence.
4. T-test to compare means.
5. Principal components analysis.
Readings/Bibliography
Inference:
Borra, Di Ciaccio (2014) Metodologie per le scienze economiche e sociali, 3^ edizione, Milano, McGraw-Hill education: chapters 8-14
Regression model:
Borra Di Ciaccio (2014): chapters 16-17
Multiple regression model (on-line):
Available on Virtule platform
Chi-square test and T-test:
Slides online (Virtule platform)
Principal components analysis:
Slides online (Virtule platform)
Video of the lectures are available on Virtule platform
Teaching methods
- Lectures, during which theoretical concepts as well as statistical techniques are explained and illustrated by examples.
Assessment methods
Written and oral exam.
Office hours
See the website of Alessandro Lubisco