Learning objectives
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
statistical methods.
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
Excel 2013.
Prerequisites
none
Course unit content
The aim of the course is to describe the main basic statistical techniques,
with a focus on applications in Marketing and Management. Specifically,
the course will address:
a) Statistical tools for preliminary data analysis and reporting;
b) Descriptive statistical measures, for summarizing business
information;
c) Confidence intervals and hypothesis testing, for the analysis of sample
data;
d) Simple linear regression, which allows the analysis of bivariate
relationship and is a prerequisite for more complex statistical modeling.
All these techniques will be applied to business data through Excel 2013.
Full programme
a) Statistical tools for preliminary data analysis and reporting;
b) Descriptive statistical measures, for summarizing business
information;
c) Confidence intervals and hypothesis testing, for the analysis of sample
data;
d) Simple linear regression, which allows the analysis of bivariate
relationship and is a prerequisite for more complex statistical modeling.
Bibliography
M. Riani, F. Laurini, G. Morelli: Strumenti statistici e informatici per
applicazioni aziendali. Pitagora Editrice, Bologna, 2013.
Teaching methods
Lectures and practical work.
Assessment methods and criteria
Written exam. Knowledge and understanding will be assessed by
methodological questions, marked 3 grade points each. The ability of
applying knowledge will be assessed by questions on applications and on
the use of Excel 2013, marked 3 grade points each. Learning and
understanding skills will be assessed by questions on the conclusions to
be drawn from basic statistical analysis, marked 3 grade points each.
Other information
Please check professor's web page for updates on course, exams, dates
and time, office hours and so on
2030 agenda goals for sustainable development
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