The course gives knowledge on basic statistical techniques for Marketing
and Management applications.
In particular, the course addresses:
a) Statistical tools for preliminary data analysis and reporting;
b) Descriptive statistical measures;
c) Confidence intervals and hypothesis testing for means and proportions,
together with p-value interpretation;
d) Simple linear regression.
The aim of the course is threefold:
1. To provide both a theoretical and a practical understanding of basic
2. To provide a Marketing-driven context for these methods.
3. Using real data and a learning-by-doing approach, to illustrate the
application and the interpretation of these methods.
Computational aspects of the methods are addressed through the use of